Alexander Poznyak
Dr. Alexander S. Poznyak Gorbatch
          
    Publicaciones en revistas de prestigio internacional:  

  1. Optimality Conditions for Certain Stochastic Programming Problems . Automation and Remote control,v.32, N.9, 1971, pp.1210 - 1218  ( with A.I. Kaplinskii and A.I.Propoi)
  1. Some methods for the Solution of Stochastic Programming Problems. Automation and Remote control, v.32, N.10, 1971, pp.1609 - 1616 ( with A.I. Kaplinskii and A.I.Propoi )
  1. Finite Learning Automata. Engineering cybernetics. N.3, 1972, 478-490.
  1. Use of Learning Automata for the Control of Random Search. Automation and Remote control, v.33, N.12, 1972, pp.1992 – 2000
  1. Learning Automata in Stochastic Programming Problems. Automation and Remote control, v.34, N.10, 1973, pp.1608 – 1619
  1. Learning Automata in Stochastic Plant Control Problems. Automation and Remote control, v.35, N.5, 1974, pp.777 - 790 ( with L.M.Lyubchik )
  1. Adaptive Learning Sequential Mashines. Automation and Remote control, v.36,  N.12, 1975, pp.2034 - 91 (with A.V.Nazin)
  1. Investigation of the Convergence Algorithms of Functioning of Learning Stochastic Automata . Automation and Remote control, v.36, N.1, 1975, pp.77 – 91
  1. "Variable - Basis" Method in Problems of Adaptive Control of Linear Systems. Automation and  Remote control,v.37, N.10, 1976, pp.1533 - 1545 ( with G.K.Kel'mans and L.M.Lyubchik )
  1. Stochastic Zero - Sum Game of Two Automata. Automation and  Remote control, v.38, N.1, 1977, pp.40 - 47 ( with A.V.Nazin )
  1. Algorithms for Control of Dynamil Systems on the Basis of Local Optimization.     Engineering cybernetics. N.5, 1977, pp.134-142
  2. "Local" Optimization Algorithms in Asymptotic Comtrol of Nonlinear Dynamic Plants. Automation and  Remote control,v.38, N.11, 1977, pp.1639 - 1652 ( with G.K.Kel'mans and A.V.Chernitser )
  1. Learning Automata . Journal of Cybernatic and Information Sci.    Special Issue on Learning Automata. North Hollywood, California:ASC,   1977, v.1, N2, THRU 4, pp.128-160 (with Ya.Z.Tzypkin) (not available in the    bibliotec of CINVESTAV but there are citations).
  1. Adaptive Selection of Model Plant Structure. Podstawy Sterovania.   1977, t.7, z.3, pp.209-216 (with I.K.Levin)     (it is not available in library of CINVESTAV).
  1. Algorithms for Control of Dynamic Systems on the Basis of Local Optimization. rev. Eng. Cybernetics, Moscow, 1977, vol.15, No.5, pp.134 - 142 (with G.Kelman’s)
  1. “Local” Optimization Algorithms in Asymptotic Control of Nonlinear Dynamic Plants. Automation and Remote Control, 1977, v.38, No.11, pp.1639-1653 (with G.Kelmance and A.V.Chernitser).
  1. Adaptive Control of Closed Priority Queuing Systems. Engineering cybernetics. N., 1978, pp.58-70 (with G.K.kel´mans and L.M. Lyubchik)
  1. Convergence of Stochastic Approximation Algorithms in Parameter Identification of Dynamic Plants. Automation and  Remote control, v.40, N.8, 1979, pp.1254- 1258
  1. Estimating the Parameters of Autoregressing Processes by the Method of Least Squares . Int.J.Systems Sciences. 1980, v.5, N11,    p.235-254
  1. Managing Bunched Deliveries under Uncomplete Information. Automation and Remote control, v.42, N.1, 1981, pp.41-49 (with V.A.Bol´shakov)
  1. Convergence of Quasioptimal Identification Algorithms. Automation and Remote control, v.42, N.7, 1981, pp.41-49 (with T I.Tovstukha)
  1. Adaptive Locally Optimal Control. Int.J.of Systems Sciences. 1981, v.12, N.2, pp.235-254 (with G.K.Kelmans and A.V.Chernitser)
  1. Locally Optimal Control of Plants with Unknown Parameters. Automation and Remote control, v.43, N.10, 1982, pp.1293-1303 (with G.K.Kel´mans and A.V.Chernitser)
  1. Recursive stochastic Gradient Procedures in the Presence of Dependent Noise. Lecture Notes in Control and Information Sciences. IIASA 81. Stochastic Optimization,  Springer-Verlag, 1984, pp.522 - 533.
  1. Optimal Algoritms for Optimization Under Correlated Noises. Journal of Comput. Mathematics and Math Physics. 1984, v.24, pp .806-821 (with Ya.Z.Tzypkin) (not available in the biblioteca of CINVESTAV but there are citations).
  2. Asymptotic Properties of Stochastic Approximation Procedures in the Case of Coreelated Noise. Automation and Remote control, v.45, N.12, 1984, pp.1601-1615 (with D.O.Chikin)
  1. Gradient procedures of stochastic approximation with dependent noise and their asymptotic behavior . Int.J.Systems Sciences. 1985, v.16, N.8, pp.917 - 949 (with    D.O.Chikin)
  1. Recursion Algorithms for Search Optimization in Relative Noises. Part 1.    Automation and Remote control, v.48, N.9, 1987, pp.1197-1208 (with D.A.    Murtazin)
  1. Recursion Algorithms for Search Optimization in Relative Noises. Part 2.    Automation and Remote control, v.48, N.10, 1987, pp.1343-1349 (with D.A.    Murtazin)
  1. Joint Estimation of Missed Observations and Parameters of Linear Controllable    Processes. Automation and  Remote control,v.50, N.1, 1989, pp.88 - 93 (with    N.Petrov)
  1. Generalized Method of Instrumental Variables in Problems of Identification of Linear    Objects. Doklady Acad. Nauk of USSR, 1989, v.306, pp.1068-1073 (with    Ya.Z.Tzypkin) (not available in the bibliotec of CINVESTAV but there are citations).
  1. Strong consistency of Nonlinear recursive Algorithms of Estimation    of the parameters of Linear Difference Equation. Automation and  Remote      control, v.51,N6,part 2, 1990, pp.798 - 807 ( with S.N.Tikhonov )
  1. Extension of the Class of Nonlinear Transformations in    Reccurent Parametric Prediction Algorithms , Automation and  Remote control,     v.51, N8, part 2, 1990, pp.1418 - 1424 ( with S.N.Tikhonov )
  1. Strong consistency of the Extended Least Squares Method with     Nonlinear Errror Transformation . Automation and  Remote     Control, v.51,N8,part 2, 1990, pp.1105 - 1112 ( with S.N.Tikhonov)
  1. H-inf. Theory of Control: open problems. 1990. rev. GOSNIIAS-IPU, Moscow. (with    G.Sebryakov, E.Fedosov and A.Semionov) (not available in the bibliotec of    CINVESTAV but there are citations).
  1. On fundamental principles of Robust Control. 1991rev.MFTI, Moscow (not available    in the bibliotec of CINVESTAV but there are citations).
  1. Review on Robust control Theory. Eng. Cybernetics, 1991, vol.1, pp.10-48 (with    A.Semionov) (after 1984 the biblioteca did not get this journal).
  1. Asymptotic Normality and Rate of Convergence Bounds of Identification     Algorithms for Nonstationary Systems, Automation and  Remote     control, v.53, No.7, 1992, pp.989-999 (with M.V.Bondarenko)
  1. Asymptotic Normality and Rate of Convergence of Recursive   Stochastic Processes with a Nonlinear Residual Transformation, Automation    and  Remote control, v.53, No.8, 1992, pp.1222-1230 (with S.N.Tikhonov)
  1. Synthesis of Robust Stabilizers with Real Coefficients by the Methods of    Nevanlinna and Pick , Automation and  Remote control, v.53, N4, part 1, 1992,    pp.490 - 499 ( with Yu.A.Vasilevskii and A.V.Semenov)
  1. Recurrent Estimates of ARX Models with Noises Described by ARMA Processes,    Automation and  Remote control, v.53, No.10, 1992, pp.1549-1556 (with    A.S.Kaz'min)
  1. A new Form of the Law of Large Numbers for Dependent Sequences and Its    Application to the Analysis of Identification Algorithms. Doklady Academii Nauk. seria    Cyb. and Control Theory. 1992, v.323, No.8. pp.645-650 (not available in the    bibliotec of CINVESTAV but there are citations).
  1. Analysis of Generalized Accelerant Identification Algorithms, Automation     and  Remote control, v.54, No.2, 1993, pp.311 - 322 (with A.A.Platonov,     N.Tikhonov and E.Shabatin)
  1. Use of Recursive stochastic Algorithm for Neural networks Synthesis.   Appl. Math. and Modelling, v.17, pp.444 - 448, 1993 (with K.Najim and       M.Chtourou)
  1. Sensitivity of H-inf Functionals to Internal Disturbances in Linear    Controlled Systems, Automation and  Remote control, v.54, No.4, 1993, pp.644 -     652 (with A.P.Kurdyukov)
  1. Convergence of Estimation Algorithms for Time-Varying Parameters in    Regressive-Autoregressive Systems with Disturbances of Moving-Average Type.    Automation and  Remote control, v.54, No.8, 1993, pp.1255 - 1271     652 (with M.V.Bondarenko)
  1. A.S.Poznyak and E.N.Sanches. Nonlinear System Approximation by Neural     Networks: Error Stability Analysis. Intellegent Automation and Soft Comptuting.      Vol.1, N3, pp.247-258, 1995.
  1. K.Najim, A.S.Poznyak. Multimodal Searching Technique Based on Learning     Automata with Continuous and Changing Number of Actions. IEEE Transactions     on Systems, Man, and Cybernetics, v.26, No. 4, pp.666-673, 1996.
  1. A.S.Poznyak, M.I.Taksar. Robust Control of Linear Stochastc Systems with Fully     Observable State. Applicationes Mathematicae (Polonia), v.24, No. 1, pp.35-46,      1996.
  1. A.S.Poznyak, K.Najim and E.Ikonen. Adaptive Selection of the Optimal Order of     Linear Regression Models Using Learning Automata. Int. Journal of Systems    Science, v.27, No. 2, pp.151-159, 1996.
  1. A.S.Poznyak, K.Najim and E.Ikonen. Calculation of resident Time for Nonlinear     Systems. Int. Journal of Systems Science, v.27, No. 7, pp.661-667, 1996.
  1. A.S.Poznyak, K.Najim and M.Chtourou. Analysis of the Behaviour of Multilevel    Hierarchical Systems of Learning Automata and Thier Application for Multimodal    Function Optimization. Int. Journal of Systems Science, v.27, No. 1, pp.97-112, 1996.
  1. A.S.Poznyak, K.Najim and M.Chtourou. Learning Automata with Continuouse      Inputs and Their Application for Multimodal Function Optimization. Int. Journal      of Systems Science, v.27, No. 1, pp.87-95, 1996.
  1. A.S.Poznyak, V.I.Utkin and A.I.Vostrikov. Control Education: A World    Showcase. Russia. IEEE Control Systems. Vol.16, No.2, pp.37-40., 1996.
  1. A.S.Poznyak and R.Salas Zuniga. Information Inequalities and Limiting     Possibilities of Adaptive Control Strategies in ARX Models with a General    Quadratic Criterion. Journal of Mathematical Systems, Estimation, and Control, v.7,     No. 1, pp.107-110, 1997.
  1. A.S.Poznyak, K.Najim, On Nonlinear Reinforcement Schemes. IEEE Transactions     on Automatic Control, v.42, No.7, pp.1002-1004, 1996.
  1. M.I.Taksar, A.S.Poznyak and A.Iparraguirre. Robust output Feedback Control    for Linear Stochastic Systems in Continuous Time with Time-Varying Parameters.    IEEE Transactions on Automatic Control, 1133-1136, v.43, No.8, 1998.
  1. A.S.Poznyak, Wen Yu, Edgar N. Sanchez, and Jose P. Perez. Stability analysis of dynamic neural control. Expert Systems with Applications, v. 14, pp. 227-236, 1998.
  1. A. Poznyak, Wen Yu, H.Sira Ramirez and E.Sanchez, Robust Identificatiob by Dynamic Neural Networks with Sliding Mode Learning. Appl. Math. and Comp.Sci., v.8, No. 1, pp. 101-110, 1998.
  1. E.Gomez Ramirez, and A.S.Poznyak . Structure Adaptation of StochasticNeural Nets Using Learning Automata Technique. Int.Journal System Sciences. v.29, No.2, 139-148, 1998.
  1. A.S.Poznyak, and K.Najim Learning Automata with Continuouse Inputs and    Changing Number of Action. Int. Journal of Systems Science, v.27, No. 12, pp.1467-    1472, 1996.
  1. A.S. Poznyak, and J. Medel. Matrix Forgetting Factor. Int. Journal of Systems Science, v. 30, No: 2, pp. 165-174, 1999.
  1. K. Najim, and A.S. Poznyak. Penalty Function and Adaptive Control of Constrained Finite Markov Chains. Int. Journal of Adaptive Control and Signal Processing, v.12, No.7, pp.545-565, 1998.
  1. A.S. Poznyak, and K. Najim. Adaptive Control of Constrained Markov Chains. IFAC Automatica, v.35, Issue 5, pp. 777-789, 1999.
  1. A.S. Poznyak. Robust Control of Nonstaitionary Infinite Dimentional Systems. Automation and Remote Control, V.58, No.10, 1998, pp. 1665-1680 (translated from Automatika i Telemekanika, No. 10, pp.134 - 154, 1997.)
  1. A.S. Poznyak, and J. Medel. Matrix Forgetting with Adaptation. Int. Journal of Systems Science, vl.30, No.8, pp. 865-878, 1999.
  1. V.G.Boltyanskii and A.S.Poznyak. Robust Maximum Principle in Minimax Control. Int.J. of Control, v.72, No: 4, 1999, pp.305-314 .
  1. A.S.Poznyak and Alejandro Rogriguez Palacio. Robust Boundary Control for Linear Time-Varying Infinite Dimentional Systems. Int.J. of Control, vol.72, No: 5, 1999, 392-403.
  1. A.S.Poznyak, Wen Yu, Edgar N. Sanchez, and Jose P. Perez. Nonlinear Adaptive Trajectory Tracking Using Dynamic Neural Networks. Identification via dynamic neural control. IEEE Transactions on Neural Networks, v.10, No: 6, pp. 1402-1411, 1999.
  1. A.S.Poznyak and Joel Correa Martinez. Variable Structure Robust State and Parameter Estimator. Int.J. Adaptive Control and Signal Processing, 2001, v.15, pp. 179-208.
  1. A.S.Poznyak, Wen Yu and E.N.Sanchez. Identification and Control of Unknown Chaotic Systems via Dynamic neural Networks. IEEE Transactions on Circuit and Systems, Part 1, vol. 46, N0.12, pp. 1491-1494, 1999.
  1. Rafael Martinez-Guerra, Alex Poznyak and Vicente Diez de Leon. Robustness Property of High-Gain Observers for Close-Loop Nonlinear Systems: Theoretical Study and Robotic Control Application. Int.J System Sciences. 2000, V. 31, N0:12, pp.1519-1529.
  1. A.S.Poznyak, Wen Yu and E.N.Sanchez. Dynamic Multilayer Neural Networks for Nonlinear System On-line Identification. IEEE Transactions on NN , 1999 (is in second revision).
  1. A.S.Poznyak and Wen Yu. Robust Asymptotic Neuro Observer with Time Delay Term.Int.J. Robust and Nonlinear Control. 10, pp..535-559, 2000.
  1. A.S.Poznyak and K.Najim Bush-Mosteller Learning for a Zero-sum Repeated Game with Random Pay-offs. Int.J.System Sciences, 2001, v.32, No: 10, pp. 1251-1260.
  1. K.Najim, A.S.Poznyak and E.Gomez. Adaptive policy for Two Finite Markov Chains Zero-Sum Stochastic Games with Incomplete Information. IFAC Automatica, 2001, 37, pp. 1008-1018.
  1. A.Poznyak and L.Ljung, On-line Identification and Adaptive Trajectory Tracking for Nonlinear Stochastic Continuous Time Systems Using Differential Neural Networks, Automatica, IFAC, 2001, 37, pp.1257-1268.
  1. Wen Yu and A.S.Poznyak. Inderect Adaptive Control via Parallel dynamic neural networks. IEE-Proceedings, Control Theory and applications, v.146, No:1, January 1999, pp. 25-30.
  1. Poznyak A.S. and E.N. Sanchez. Non-lnear System On-line Identification Using Dynamic Neural Networks. Intellegent Automation and Soft Computing. Vol.5 No.3, pp.201-209, 1999.
  1. Poznyak A.S., R.Martinez-Guerra and A.Osorio-Cordero. Robust High-Gain Observer for Nonlinear Closed-Loop Stochastic Systems. Mathematical Problems in Engineering, vol . 6, pp.31-60, 2000.
  1. J.Reyes-Reyes, W.Yu and A. Poznyak. Passivation and Control of Partially Known SISO Nonlinear Systems via Dynamic Neural Networks. Mathematical Problems in Engineering, v. 6, pp. 61-83, 2000.
  1. Joel Correa Martinez and A.S.Poznyak. Switching Structure Robust State and Parameter Estimator for MIMO Nonlinear Systems. Int.Jounal of Control, vol. 74, N0:2, pp. 175-189, 2001.
  1. A. Poznyak, Strong Law of Large Numbers for Dependent Vector Processes with Decreasing Correlation: Double Averaging Concept, Mathematical Problems in Engineering, v.7, 2001, pp. 87-95.
  1. J.Medel and A.Poznyak, Adaptive Trackig for DC- Derivate Motor Based on Matrix Forgetting, Computation and Systems, Vol. 4, N.- 3, 2001, January-March, pp.205-212.
  1. A.S.Poznyak and K.Najim. Learning Trough Reinforcement for N-person Repeated Constrained Game. IEEE Transactions on SMC: Part B Cybernetics, v.32, No:6, 2002, 759-771.
  1. Rafael Martiniz-Guerra A.Poznyak and Vicente Diaz de Leon, Robustness property of high-gain observers for close-loop nonñinear systems: theoretical srtudy and robot control application, International journal of Systems Science, v.31, 2000, pp.1519-1529.
  1. A.Poznyak, T.Duncan, B.Pasik-Duncan and V.Boltyansky, Robust Stochastic maximum Principle for Multi-model worst case optimization, Int.J.of Control, Vol 75, No 13 , 2002, pp.1032-1048.
  1. A.Poznyak, T.Duncan, B.Pasik-Duncan and V.Boltyansky, Robust Optimal Control for Minimax Stochastic Linear Quadratic Problem, Int.J.of Control, Vol 75 No 14, 2002 , pp.1054-1065.
  1. A.Poznyak, T.Duncan, B.Pasik-Duncan and V.Boltyansky, Robust Maximum Principle for Minimax LQ-Problem, Int.J.of Control, Vol 75 No 15, pp. 1770-1777, 2002.
  1. Rafael Martinez-Guerra, Alex Poznyak, E.Gortcheva and Vicente Diez de Leon. Robot Angular Link Velocity Estimation in Presense of High-level Mexid Uncertainties. IEE Proc-Control Theory and Applications,. 2000, V. 147, N0:5, pp.515-522.
  1. A.Cabrera, A.Poznyak, T.Poznyak and J.Aranda: Identification of a Feedbatch Fermentation Process: Comparison of Computational and Laboratories Experiments. Bioprocess and Biosystems Engineering, V. 24, 2002, pp. 319-327.
  1. V.Boltyanski and A. Poznyak. Linear multi-model time-optimization. Optimal control Applications and Methods, John Willey & Sons, Ltd., v.23, pp.141-161, 2002.
  1. V.G.Boltyanski and A.S. Poznyak. Robust maximum principle for a measured space as uncertainty set. Dynamic Systens & Applications, Dynamic Publishers, Inc, v.11, pp.277-292, 2002.
  1. Alex S. Poznyak, Robust stochastic maximum principle: a measured space as uncertainty set. Stochastic Theory and Control (ed. B.Passik-Duncan), Proceedings of a Workshop held in Lawrance, Kansas, October 18-20, 2001, Springer, Berlin-Heidelberg-New York, pp. 385-394, 2002.
  1. R. Aguilar, A. Poznyak, R. Martinez-Guerra and R. Maya-Yescas, '' Temperature Control in Catalytic Cracking Reactors via Robust PID Controller'', Journal of Process Control, 12(6), pp. 695-705., 2002.
  1. R. Aguilar, R. Martinez-Guerra and A. Poznyak, "Reaction Heat Estimation in Continuous Chemical Reactors Using High Gain Observer" Chemical Engineering Journal, 87(3), 2002, pp. 351-356.
  1. Wen Yu. A.S.Poznyak and Xiaoou Li, “Multilayer dynamic networks for non-linear system on-line identification”, Int.Journal of Control, 74, No: 18, 2001, pp1858-1864.
  1. A. Poznyak, Robust Stochastic maximum Principle: Complete Proof and Discussions, Mathematical Problems in Engineering, v.8, No: 4-5, 2002, pp. 389-412.
  1.  E.Gomez, K.Najim and A.Poznyak, Saddle-point Calculation for Constrained Finite Markov Chains, Int.J. of Economics, Dynamics and Control, Elsivier, v. 27, 2003, pp. 1833-1853.
  1. Godoy-Alcantar, E.Gomez-Ramirez, A. Poznyak, and K.Najim. “Alternate Linear Programming Approach for Noncooperative Constrained Games”. Submitted to the International Journal of Systems Science. Submission date: August 2002.
  1. M. Godoy-Alcantar, A. Poznyak, and E. Gomez-Ramirez, Generalization of the Mangasarian-Stone Theorem for Markov Chain Finite N-Person Games: LPM-Approach. Dynamic Systems and Applications, Dynamic Publisher. Atlanta, Georgia, USA, v.12, 2003, pp. 489-508.
  1. Godoy-Alcantar, A. Poznyak, and E.Gomez-Ramirez. “Markov Chains Constrained Games: ALP-approach ”. Submitted to the International Journal of Game Theory, submission date: February 4, 2003.
  1. A. Poznyak, Y.Shtessel and C.Jimenez Gallegos, “Min-Max Sliding-Mode Control fpr Multimedel linear Time varying Systems” IEEE Transactions on Automatic Control, v.48, No.12, Dec. 2003, pp. 2141-2150.
  1. A.Poznyak, L.Fridman and F.Bejarano, Mini-Max Integral Sliding-Mode Control for Multimodel linear Uncertai Systems, IEEE Transections on Automatic Control, v.49, No:1, 2004, pp.97-102
  1. J.J.Medel, A.S.Poznyak and P.Guevara Lopez, Real-Time Multivariable Digital Filter Using Matrix Forgetting Factor and Instrumental Variable, ABT (Automatic control and Coputer Science), Allerton Press, Inc., NY, No.2, 2004, pp. 40-53.
  1. A.Poznyak, A. Nazin and D.Murano. Observer matrix gain optimization for stochastic continuous time nonlinear systems, Systems & Control Letters, 2004, Vol. 52(5) pp. 377-385.
  1. K.Najim, A.Poznyak and E.Ikonen. Optimization based on a team of automata with binary output, Automatica, 40, 2004, pp.1349-1359.
  1. F.Nava R., I.Baruch and A.Poznyak. Stability Proofs of Advanced Recurrent Neural Networks Topology and Learning. Comptes Rendus de L’academie Bulgare des Sciences. v.57, No:1., 27-32, 2004.
  1. A.Poznyak, Wen Yu, T.Poznyak and K.Najim, Simultaneous State and Parametes Estimation of an Ozonation reactor Besed on Dynamic Neural Network, International Journal for theory, Applications & Computer simulations, special issue: Differential equations and Dynamic Systems, 2004, vol.12, Nos. 1&2, January&April, pp.195-221.
  1. Rafael Martinez-Guerra, Ricardo Aquilar and Alexander Poznyak, A New Sliding-Mode Observer Design for Monitoring in Chemical Reactors. Journal of Dynamic systems, Measurements, and Control. Transections of the ASME. V.126, pp.473-478, 2004.
  1. T. Poznyak, I. Chairez and A. Poznyak, Application of a neural observer to phenols ozonation in water:Simulation and kinetic parameters identification. Water Research, 39 (2005) pp. 2611–2620.
  1. M. Jimenez-Lizarriaga and A. Poznyak, Near-Nash equilibrium Strategies for LQ Differential Games with Inaccurate State Information. Mathematical Problems in Engineering, 2006, Article ID 21509, pp. 1-24.
  1. L. Fridman, A. Poznyak and F. Bejarano, Decomposition of the Min-Max Multimodel Problem via Integral Sliding Mode. Int. J. Robust Nonlinear Control, v.15, pp. 559-574, 2005.
  1. M. Jimenez-Lizarriaga and A. Poznyak, eps-equilibrium in LQ Differential Games with bounded uncertain disturbances: robustness of standard strategies and new strategies with adaptation. International Journal of Control, 2006, Vol. 79, No. 7, pp. 786-797.
  1. M. Jimenez and A. Poznyak. Quasi-equilibrium in LQ differential games with bounded uncertain disturbances: robust and adaptive strategies with pre-identification via sliding mode technique, International Journal of System Science (en segunda revisión).
  1. A. Poznyak, T.Poznyak and I.Chairez. Dynamic Neuro-observers and their Application to identification of the water purification process. Automatica y telemechanica (in Russian). No:6, 2006, pp.61-74.
  1. J.Davilla, L.Fridman and A.Poznyak. Observation and identification of mechanical systems via second order sliding mode. International Jourtnal of Control, 2006, Vol. 79, No.10, pp. 1251-1262.
  1. A.Poznyak. Book reviews “Stochastic processes: Optimization and Analysis” by K Najim and E.Ikkonen. Auitomatica IFAC, Vol.42, No:7, 2006, pp.1237-1238.
  1. I Chairez, A.Poznyak and T.Poznyak. New Sliding Mode Learning Law for Dynamic Neural Network Observer. Transaction of IEEE on Cuircuit and Systems II, Vol.53, No: 12 (December), 2006, pp.1338-1342.
  1. A. Poznyak, T.Poznyak and I.Chairez. Dynamic Neuro-observers and their Application for Identification and Purification of Water by Ozone. Automation and Remote Control, Vol. 67, No: 6, 2006, pp. 887-899.
  1. I Chairez, A.Poznyak and T.Poznyak. Bounded Weights Trajectories for Neural Network State Estimation. Research in Computer Science (Journal of IPN), Special Issue: Neural Networks and Associative Memories. Vol.21, 2006, pp. 13-24.
  1. Jose H. Perez and A.Poznyak. Physical Model-Free observer for Nuclear Reactors using Differential Neural Netwoks with Sliding Mode Leraning. Research in Computer Science (Journal of IPN), Special Issue: Neural Networks and Associative Memories. Vol.21, 2006, pp. 181-194.
  1. Manuel Jimenez-Lizarraga and Alex Poznyak. Robust Nash Equilibrium in multi-model LQ differemtial games: Análisis and extraproximal numerical procedure. Optimal Control Applications and Methods. 2007, Vol 28 , pp. 117-141.
  1. Manuel Jimenez-Lizarraga and Alex Poznyak. Quasi-equilibrium in LQ differential games with bounded uncertain disturbances: robust and adaptive strategies with pre-identification via sliding mode technique. International Journal of Systems Science. Vol 38, No 7, 2007, pp 585-599.
  1. Tatyana Poznyak, Alejandro García, Isaac Chairez, Miriam Gómez and Alexander Poznyak. Application of the differential neural network observer to the kinetic parameters identification of the anthracene degradation in contaminated model soil. Journal of Hazardous Materials. Vol.146, 2007, pp. 661-667, . Impact factor 1.855.
  1. F. J. Bejarano, L. Fridman and A. Poznyak. Output integral sliding mode control based on algebraic hierarchical observer. International Journal of Control. Vol 80. No. 3., 2007, pp 443-453.
  1. Alexander Poznyak, Francisco Bejarano and Leonid Fridman. Numerical method for weights adjustment in minimax multi-model LQ-control. Optimal Control Applications and Methods, Vol.28, 2007, pp. 289-300.
  1. A. Poznyak, I. Chairez and T. Poznyak. Sliding mode neurocontrol for the class of dynamic uncertain non-linear systems. International Journal of Control. 2007, vol 81. 1, 2008, pp 74-88.
  1. F.J. Bejarano, L. Fridman and A. Poznak. Exact state estimation for linear systems with unknown inputs based on hierarchical supertwisting algorithm. International Journal of Robust and Nonlinear Control, v.17, pp. 1734-1753, 2007.
  1. A. Poznyak, J. Escobar and Y. Shtessel, “Sliding modes time varying matrix identification for stochastics system”, International Journal of Systems Science, Vol 38, 11, 2007, pp 847-859.
  1. S. Baev, I. Shkolnikov, Y. Shtessel and A. Poznyak, “Sliding mode parameter identification of systems with unmeasurement noise”, International Journal of Systems Science, Vol 38, 11, 2007, pp 871-879.
  1. F. J. Bejarano, A. Poznyak and L. Fridman, “Hierarchical second-order sliding-mode observer for linear time invariant systems with unknown inputs”, International Journal of Systems Science, Vol 38, 10, pp 793-802, 2007.
  1. I. Chairez, A. Poznyak and T. Poznyak. “Reconstruction of dynamics of aqueous phenols and their products formation in ozonation using differential neural network observer”, Industrial & Engineering Chemistry Research, 46: 5855 – 5866, 2007 (Impact factor 1.518).
  1. Isaac Chairez, Alexander Poznyak, Tatyana Poznyak, “Sliding Mode Neurocontrol for the Class of Dynamic Uncertain Nonlinear Systems”, International Journal of Control, 81(1): 74-88, 2008. (Impact factor 0.886).
  1. Azhmyakov, V., V.G.Boltyanski and Poznyak, A., “Optimal control of impulsive hybrid systems”, Nonlinear Analysis: Hybrid Systems, Elsevier, Vol.2, 2008, pp.1089-1097.
  2. Polyakov A., Poznyak A. Lyapunov Function Design for Finite-Time Convergence Analysis: "Twisting"Controller for Second Order Sliding Mode Realization, Automatica.  2009. V.45 , No:2, pp. 444-448.
  1. Polyakov A., Poznyak A. Reaching time estimation for ”super-twisting” second order sliding mode controller via Lyapunov function designing, IEEE Trans. Automatic Control. 2009. V. 54, No:8, pp. 1951-1955.
  1. F.J.Bejerano, L.Fridman and A.Poznyak. Unknown Input and State Estimation for Unobservable Systems. SIAM J. Control Optim. 2009, Vol.48, N0.2, pp.1155-1178.
  1. J.Escobar and A.Poznyak, Robust Continuos-Time Matrix estimation under Dependent Noise Perturbations: Sliding Modes filtering and LSM with Forgetting, IEEE Transactions on Cuircuit, Systems and Signal Processing, 2009, v. 28, pp. 257-282.
  1. S.Moya and A.S.Poznyak. Extraproximal Method Application for a Stackelberg-Nash Equilibrium Calculation in Static Hierarchical Games. IEEE Transaction on Systems, Man and Cybernetics – Part B: Cybernetics, v. 39, No.11, pp.1493-1504, 2009.
  1. F.J.Bejerano, L.Fridman and A.Poznyak. Output Integral Sliding Mode for Min-Max Optimization of Multi-Plant Linear Uncertain Systems. IEEE Trans. Automatic Control, v. 54, No: 11, pp. 2611-2620, 2009.
  1. Isaac Chairez, A. Poznyak and T.Poznyak. Stable weigjhts dynamics for a class of differential neural network observers, IET Theory and Applications, v.3, issue 10, 2009, pp. 1437-1447.
  1. J.Perez and A.Poznyak. Control of Nuclear Research reactor Based on a generalized Hopfield Neural Network, Intelligent Automation and Soft Computing, 2010, vol. 16, No.1, pp. 39-60.
  1. V.Azhmyakov, V.Boltyanski and A.Poznyak, The Dynamic Programming Approach to Multi-Model Robust Optimization, Nonlinear Analysis, v. 72, pp. 1110-1119, 2010.
  1. F. Plestan; Y. Shtessel; V. Brégeault; A. Poznyak. New methodologies for adaptive sliding mode control. International Journal of Control, V. 83, Issue 9, 2010, pp. 1907 – 1919.
  1. I.Chairez, R.Fuentes, T.Poznyak, M.Franko and A.Poznyak, Numerical modeling for the benzene reaction with ozone in gas phase using differential neural networks. Catalysis Today, 2010, v. 151 , pp. 159-165.
  1. V.Azhmyakov, R.Galvan-Guerra and A.Poznyak, On the hybrid LQ-based control design for linear network systems, Journal of Franklin Institute, v.347, 2010, pp. 1214-1226.
  1. R.Fuentes, A.Poznyak, I.Chairez, , M.Franko and T.Poznyak, Continuous neural networks applied to identity of a class of uncertain parabolic partial differential equations. International Journal of Modelling, Simulation, and Scietific Computing, v.1 No: 4, 2010, pp.485-508.
  1. J.Davila and A.Poznyak, Sliding mode parameter adjustment for perturbed linear systems with actuators via ellipsoid method. International Journal of Robust and Nonlinear Control, 21, pp. 473-487, 2011.
  1. V.Azhmyakov, M.Egerstedt, L.Fridman and A.Poznyak, Approximability of Nonlinear Affine Control Systems, Nonlinear Analysis: Hybrid Systems, v. 5 (2011), pp. 275–288.
  1. J. Escobar and A. Poznyak, Time-varying matrix estimation in stochastic continuous-time models under coloured noise using LSM with forgetting factor. International Journal of Systems Science, 2011, pp. 2009-2020.
  1. I.Chairez, R.Fuentes, A.Poznyak, T.Poznyak, M.Escudero and L.Viana. DNN-state identification of 2D distributed parameter systems, Int. Journal of Systems Science, 2012, vol. 43, No: 2, pp.296-307.
  1. J. Humberto, I. Chairez, A.Poznyak, and J. De Jesues Rubio, Constrainded Neural Control for the Adaptive tracking of Power Profiles in a Triga Reactor. International Journal of Innovative Computing, information and Control, 2011, V.7, No 7(B), pp. 4575-4588.
  1. H.Alazki and A.Poznyak, Robust Stochastic Tracking for Discrete-Time Models: Designing of Ellipsoid where RandomTrajectories Converge with Probability One, International Journal of Systems Science, vol:43, No:8, 2012, pp.1519-1533.
  1.  R.Villafuerte, S. Mondie and A.Poznyak. Practical stability of time=delay systems: LMI-approach, European Journal of Control, 2011, v. 2, pp.127-138. 
  1.  A.Garcia, A. Luviano-Juarez, I. Chairez, A.Poznyak and T.Poznyak. Projectional Neural Network Identifier for Chaotic Systems: Application to Chua’s Circuit. International journal of Artificial Itellegence, 2011, v.6, pp.1-18.
  1.  S. Gonzalez-Garcia, A. E. Polyakov and A. S. Poznyak. Using the Method of Invariant Ellipsoids for Linear Robust Output Stabilization of SpacecraftAutomation and Remote Control, 2011, v. 72, no: 3, pp. 540-555.
  1.  Andrey Polyakov, Alex Poznyak. Invariant ellipsoid method for minimization of unmatched disturbances effects in sliding mode control. Automatica, 2011, v.47, pp.1450-1454.
  1.  B. CLEMPNER, ALEXANDER S. POZNYAK. CONVERGENCE METHOD, PROPERTIES AND COMPUTATIONAL COMPLEXITY FOR LYAPUNOV GAMES. Int. J. Appl. Math. Comput. Sci., 2011, Vol. 21, No. 2, 349–361.
  1.  Jorge Davila, Alexander Poznyak. Dynamic sliding mode control design using attracting ellipsoid method. Automatica 47 (2011) 1467–1472.
  1.  A. E. Polyakov and A. S. Poznyak. Method of Lyapunov Functions for Systems with Higher-order Sliding Modes. Automation and Remote Control, 2011, Vol. 72, No. 5, pp. 944–963.
  1.  Alex Poznyak, Vadim Azhmyakov and Manuel Mera. Practical output feedback stabilization for a class of continuous-time dynamic systems under sample-data outputs. International Journal of Control. Vol. 84, No. 8, August 2011, 1408–1416.
  1.  A.S. Poznyak, A.Ye. Polyakov, V.V. Strygin. Analysis of finite-time convergence by the method of Lyapunov functions in systems with second-order sliding modes. Journal of Applied Mathematics and Mechanics 75 (2011), 289–303.
  1. HUSSAIN SAGI ALAZKI_ AND ALEXENDER POZNYAK GORBATCH, Inventory constraint control with uncertain stochastic demands: attractive ellipsoid technique application, IMA Journal of Mathematical Control and Information, 2012, Pages 399 of 425
  2. Rita Q. Fuentes, Isaac Chairez, Alexander Poznyak, and Tatyana Poznyak, 3D Nonparametric Neural Identification, Journal of Control Science and Engineering,      Volume 2012 (2012), pp.1-10. Article ID 618403, 10 pages, doi:10.1155/2012/618403
  1.  M. Franco, I. Chairez, T. Poznyak, A. Poznyak. BTEX decomposition by ozone in gaseous phase, Journal of Environmental Management, Vol. 95 (2012), pp. 55- 60.
  1.  NORMA B. LOZADA-CASTILLO, HUSSAIN ALAZKI AND ALEXANDER S. POZNYAK, Robust control design through the attractive ellipsoid technique for a class of linear stochastic models with multiplicative and additive noises, IMA Journal of Mathematical Control and Information, 2012, Page 1 of 19, doi:10.1093/imamci/dns008
  1.  Manuel Jiménez-Lizárraga and Alex Poznyak, Necessary conditions for robust Stackelberg equilibrium in a multi-model differential game, OPTIMAL CONTROL APPLICATIONS AND METHODS, 2012; 33: 595–613.
  1. A. Polyakov, A. Poznyak, Unified Lyapunov function for a finite-time stability analysis of relay second-order sliding mode control systems, IMA Journal of Mathematical Control and Information, 2012, V. 29 № 4, p. 529-550.
  1. Vadim I. Utkin and Alex S. Poznyak. Adaptive sliding mode control with application to super-twist algorithm: Equivalent control method, Automatica 49 (2013) 39–47.
  1. Franck Plestan, YuriShtessel, Vincent Brégeault, Alexander Poznyak. Sliding mode control with  gain adaptation: Application to an electropneumatic actuator. Control Engineering Practice, 21 (2013), 679–688.
  1.  Hussain Alazki, Alexander S. Poznyak.  A class of robust bounded controllers tracking a nonlinear discrete-time stochastic system: Attractive ellipsoid technique application. Journal of the Franklin Institute. 350 (2013) 1008–1029.
  1.  Azhmyakov Vadim, Poznyak Alex, Gonzales Omar, On the robust control design for the class of affine nonlinear systems: the attractive ellipsoid approach. Journal of Industrial and Management Optimization. v.9 (3), 2013, pp.579-593.
  1.  Patricio Ordaz, Hussain Alazki and Alexander Poznyak. A Sample-Time Adjusted Feedback for Robust Bounded Output Stabilization. Kybernetika, v.49 (6), 2013, pp. 911-934.
  1. Vadim Azhmyakov, Alex Poznyak and Raymundo Juarez. On the practical stability of control processes governed by implicit differential equations: The invariant ellipsoid based approach. Journal of the Franklin Institute. 350 (2013) 2229–2243.
  1. Patricio Ordaz and Alex Poznyak, KL-adaptation for attractive ellipsoid method IMA Journal of Mathematical Control and Information, 2014, doi:10.1093/imamci/dnt046 
  1. Vadim Azhmyakov, Andrey Polyakov, Alex Poznyak. Consistent approximations and variational description of some classes of sliding mode control processes. Journal of the Franklin Institute, vol. 351 (2014), pp. 1964–1981.
  1. Carlos Perez, Vadim Azhmyakov and Alex Poznyak, Practical stabilization of a class of switched systems: dwell-time approach. IMA Journal of Mathematical Control and Information, 2014, doi:10.1093/imamci/dnu011.
  1. Manuel Mera, Fernando Castanos and Alexander Poznyak, Quantised and sampled output feedback for nonlinear systems, International Journal of Control, 2014, Vol. 87, No. 12, 2475–2487.
  1. T.Poznyak, I.Chairez, C.Perez, and A.Poznyak. Switching robust control for ozone generators using the attractive ellipsoid method. ISA Transactions, 53 (2014), 1796–1806.
  1. Norma Lozada-Castillo, Alexander Poznyak, and Isaac Chairez. Control of Multiplicative Noise Stochastic Gene Regulation Systems by the Attractive Ellipsoid Technique. International Journal of Control, Automation, and Systems (2014) 12(5): 1018-1029.
  1. Vadim Azhmyakov, Andrey Polyakov and Alex Poznyak. Consistent approximations and variational description of some classes of sliding mode control processes. Journal of the Franklin Institute 351 (2014) 1964–1981.
  2. Julio B. Clempner and Alexander S. Poznyak, SIMPLE COMPUTING OF THE CUSTOMER LIFETIME VALUE: A FIXED LOCAL-OPTIMAL POLICY APPROACH. J. Syst. Sci. Syst. Eng.  December 2014, v.23, issue 4, pp. 439-459.
  3. N. Martínez-Fonseca , I. Chairez , A. Poznyak. Uniform Step-by-Step Observer for Aerobic Bioreactor Based on Super-Twist Algorithm. Bioprocess and Biosystems Engineering. December 2014, Volume 37, Issue 12, pp 2493-2503
  4. A. S. Poznyak .  Robust Feedback Design for Stabilization of Nonlinear Systems with Sampled-Data and Quantized Output: Attractive Ellipsoid Method. ISSN 0005-1179, Automation and Remote Control, 2015, Vol. 76, No. 5, pp. 834–846. © Pleiades Publishing, Ltd., 2015. Original Russian Text © A.S. Poznyak, 2015, published in Avtomatika i Telemekhanika, 2015, No. 5, pp. 130–144
  5. Kristal K.Trejo, Julio B..Clempner, Alexander S. Poznyak. A Stackelberg security game with random strategies based on the extraproximal theoretic approach. Engineering Applications  of Artificial Intelligence, 37 (2015), 145–153.
  6. Kristal K.Trejo, Julio B..Clempner, Alexander S. Poznyak. A COMPUTING THE STACKELBERG/NASH EQUILIBRIA USING THE EXTRAPROXIMAL METHOD: CONVERGENCE ANALYSIS AND IMPLEMENTATION DETAILS FOR MARKOV CHAINS GAMES. Int. J. Appl. Math. Comput. Sci., 2015, Vol. 25, No. 2, 337–351 DOI: 10.1515/amcs-2015-0026.
  7. Julio B. Clempner, Alexander S. Poznyak. Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach. Engineering Applications of Artificial Intelligence, 43 (2015) 147–156.
  8. Julio B. Clempner, Alexander S. Poznyak. Stackelberg security games: Computing the shortest-path equilibrium. Expert Systems with Applications, 42 (2015), 3967–3979.
  9. Pablo García and Alexander Poznyak. Multi-model LQ-constrained min–max control. Optim. Control Appl. Meth. , Volume37, Issue2, March/April 2016, Pages 359-380.
  10. Sajjad Keshtkar and Alexander Poznyak. Tethered space orientation via adaptive sliding mode. Int. J. Robust Nonlinear Control (2016) , Volume26, Issue8, Pages 1632-1646.
  11. Emma M. Sanchez,  Julio B. Clempner  and  Alexander S. Poznyak. Solving The Mean-Variance Customer Portfolio In Markov Chains Using Iterated Quadratic/Lagrange Programming: A Credit-Card Customer Limits Approach. Expert Systems with Applications. 42 (2015) pp. 5315–5327.
  12. Emma M. Sanchez,  Julio B. Clempner  and  Alexander S. Poznyak. A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean–variance customer portfolio: The case of bank marketing campaigns. Engineering Applications of Artificial Intelligence. Volume 46, Part A, November 2015, Pages 82–92.
  13. Julio B. Clempner, Alexander S. Poznyak. Computing the strong Nash equilibrium for Markov chains games. Applied Mathematics and Computation, Volume 265, 15 August 2015, Pages 911–927.
  14. Félix A. Miranda, Fernando Castaños and Alexander Poznyak. Min–max piecewise constant optimal control for multi-model linear systems. IMA Journal of Mathematical Control and Information (published June 16, 2015) Page 1 of 20 doi:10.1093/imamci/dnv030.
  15. Vadim Azhmyakov, Javier Cabrera Martinez and Alexander Poznyak. Optimal xed-levels control for nonlinear systems with quadratic cost-functionals. OPTIMAL CONTROL APPLICATIONS AND METHODS (Optim. Control Appl. Meth.) (2015) Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/oca.2223.
  16. Patricio Ordaz and Alex Poznyak, KL-adaptation for attractive ellipsoid method. IMA Journal of Mathematical Control and Information, IMA Journal of Mathematical Control and Information (2015) 32, 447–469
  17. Hussain Alazki and Alexander Poznyak. ROBUST OUTPUT STABILIZATION FOR A CLASS OF NONLINEAR UNCERTAIN STOCHASTIC SYSTEMS UNDER MULTIPLICATIVE AND ADDITIVE NOISES: THE ATTRACTIVE ELLIPSOID METHOD. JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION. Volume 12, Number 1, January 2016, pp. 169-186 (doi:10.3934/jimo.2016.12.169).
  18. Julio B. Clempner, Alexander S. Poznyak. Convergence analysis for pure stationary strategies in repeated potential games: Nash, Lyapunov and correlated equilibria. Expert Systems with Applications. Volume 46, 15 March 2016, Pages 474–484.
  19. Julio B. Clempner, Alexander S. Poznyak.  Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method. Mathematics and Computers in Simulation. Volume 119, January 2016, Pages 142–160.
  20. Patricio Ordaz  and Alex Poznyak. Adaptive-Robust Stabilization of the Furuta’s Pendulum via Attractive Ellipsoid Method. Journal of Dynamic Systems, Measurement and Control. FEBRUARY 2016, Vol. 138 / 021005-1 -- 021005-8.
  21. Lizeth Carrillo, Jesica A. Escobar , Julio B. Clempner and Alexander S. Poznyak. Optimization problems in chemical reactions using continuous-time Markov chains. Journal of Mathematical Chemistry, June 2016, Volume 54, Issue 6, pp 1233-1254.
  22. Pablo García and Alexander Poznyak. Multi-model LQ-constrained min–max control. OPTIMAL CONTROL APPLICATIONS AND METHODS, 2016; 37:359–380.
  23. Sajjad Keshtkar and Alexander Poznyak. Adaptive sliding mode controller based on super-twist observer for tethered satellite system. ITERNATIONAL JOURNAL OF CONTROL INTERNATIONAL JOURNAL OF CONTROL, V0l. 89, NO. 9, 1904–1915, 2016.
  24. Vadim Azhmyakov, Javier Cabrera Martinez  and Alexander Poznyak. Optimal fixed-levels control for nonlinear systems with quadratic cost-functionals. Optim. Control Appl. Meth. 2016; 37:1035–1055.
  25. Julio B. Clempner and Alexander S. Poznyak. Constructing the Pareto front for multi-objective Markov chains handling a strong Pareto policy approach. Comp. Appl. Math. DOI 10.1007/s40314-016-0360-6.
  26. Victor Zhermolenko & Alexander Poznyak. Criteria of robust stability for time-varying 2D Wang–Mitchel differential systems: integral funnel method. International Journal of Control, http://www.tandfonline.com/action/showCitFormats, doi=10.1080/00207179.2016.1155752.
  27. Victor N. Zhermolenko and Alex S. Poznyak. Necessary and sufficient conditions for stabilizability of planar parametrically perturbed control systems. IMA Journal of Mathematical Control and Information (2016) 33, 53–68.
  28. Sajjad Keshtkar  and Alexander Poznyak. Tethered space orientation via adaptive sliding mode. Int. J. Robust Nonlinear Control 2016; 26:1632–1646.
  29. J. B. Clempner and A. S. Poznyak AN OPTIMAL STRONG EQUILIBRIUM SOLUTION FOR COOPERATIVE MULTI-LEADER-FOLLOWER STACKELBERG MARKOV CHAINS GAMES. KYBERNETIKA, | Vol. 5 2 ( 2 0 1 6 ) , No 2 , PAGES 2 5 8 –  2 7 9.
  30. Cesar U. Solis, Julio B. Clempner & Alexander S. Poznyak (2016): Modeling Multileader–Follower Noncooperative Stackelberg Games, Cybernetics and Systems, DOI: 10.1080/01969722.2016.1232121.
  31. Cesar U. Solis, Julio B. Clempner and Alexander S. Poznyak. Designing a terminal optimal control with an integral sliding mode component using a saddle point method approach: a Cartesian 3D-crane application. Nonlinear Dynamics (2016) 86:911–926.
  32. Vıctor Hernández, Santamarıa Luz de Teresa and Alexander Poznyak. Hierarchic control for a coupled parabolic system. Portugal. Math. (N.S.) Portugaliae Mathematica. Vol. 73, Fasc. 2, 2016, 115–137.
  33. J. Clempner and A. Poznyak. Analyzing An Optimistic Attitude For The Leader Firm In Duopoly Models: A Strong Stackelberg Equilibrium Based On A Lyapunov Game Theory Approach. Economic Computation And Economic Cybernetics Studies And Research. 4, 50, 41-60, 2016.
  34. Hussain Alazki*, Eric Hernández, Juan M. Ibarra, and Alexander Poznyak.  Attractive Ellipsoid Method Controller under Noised Measurements for SLAM, International Journal of Control, Automation and Systems, 15 (6), 2017, 2764-2775.
  35. Julio B. Clempner, AlexanderS. Poznyak. Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making. Expert Systems With Applications, 68 (2017) 123–135.
  36. Alex S. Poznyak, Sliding Mode Control in Stochastic Continuos-Time Systems: mu-zone MS-convergence, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 62, NO. 2, 863-868, FEBRUARY 2017.
  37. Alazki, H. and Poznyak, A. Robust Model-Free Software Sensors for the HIV/AIDS Infection Process. International  Journal of Modern Nonlinear Theory and Application, 6, 39-58, 2017.
  38. Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak. Computing the strong L p −Nash equilibrium for Markov chains games: Convergence and uniqueness. Applied Mathematical Modelling, 41 (2017), 399–418.
  39. Julio B. Clempner, Alexander S. Poznyak. Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games. Mathematics and Computers in Simulation, 138 (2017), 14–30.
  40. Cesar U. Solis, Julio B. Clempner, and Alexander S. Poznyak. Fast Terminal Sliding-Mode Control With an Integral Filter Applied to a Van Der Pol Oscillator. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Vol. 64, No. 7, JULY 2017.
  41.  Victor Herna´ndez-Santamarı´a, Luz de Teresa and Alexander Poznyak. Corrigendum and addendum to ‘‘Hierarchic control for a coupled parabolic system’’, Portugaliae Math. 73 (2016), 2: 115–137. Portugal. Math. (N.S.) Portugaliae Mathematica, Vol. 74, Fasc. 2, 2017, 161–168.
  42. S. Keshtkar, A. S. Poznyak, E. Hernandez, and A. Oropeza. Adaptive Sliding-Mode Controller Based on the “Super-Twist” State Observer for Control of the Stewart Platform. Automation and Remote Control, 2017, Vol. 78, No. 7, pp. 1218–1233.
  43. Julio B. Clempner, Alexander S. Poznyak. NEGOTIATING TRANSFER PRICING USING THE NASH BARGAINING SOLUTION. Int. J. Appl. Math. Comput. Sci., 2017, Vol. 27, No. 4, 853–864.
  44. Julio B. Clempner, Alexander S. Poznyak. COMPUTING THE TRANSFER PRICING FOR A MULTIDIVISIONAL FIRM BASED ON COOPERATIVE GAMES. Economic Computation and Economic Cybernetics Studies and Research, Issue 1/2018; Vol. 52, pp. 107-126, DOI: 10.24818/18423264/52.1.18.07.
  45. Julio B. Clempner, Alexander S. Poznyak. Sparse mean–variance customer Markowitz portfolio optimization for Markov chains: a Tikhonov’s regularization penalty approach. Optimization and  Engineering (2018), vol.19, No:2, pp. 383–417, https://doi.org/10.1007/s11081-018-9374-9.
  46. Julio B. Clempner, Alexander S. Poznyak. Using the Manhattan distance for computing the multiobjective Markov chains problem. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2018, VOL. 95, No: 11, pp. 2269–2286, https://doi.org/10.1080/00207160.2017.1381690.
  47. Kristal K.Trejo, Julio B.Clempner, Alexander S.Poznyak. Adapting attackers and defenders patrolling strategies: Areinforcement learning approach for Stackelberg security games. Journal of Computer and System Sciences, vol. 95 (2018) pp. 35–54, https://doi.org/10.1016/j.jcss.2017.12.004.
  48. Julio B. Clempner & Alexander S. Poznyak (2018) A Tikhonov regularization parameter approach for solving Lagrange constrained optimization problems, Engineering Optimization, vol. 50, No: 11, 1996-2012, DOI: 10.1080/0305215X.2017.1418866.
  49. Julio B. Clempner1 , Alexander S. Poznyak. Constructing the Pareto front for multi-objective Markov chains handling a strong Pareto policy approach. Computational and  Applied Mathematics (2018), vol. 37, pp.567–591. https://doi.org/10.1007/s40314-016-0360-6.
  50. Alexander Poznyak,  Stochastic Super-Twist Sliding Mode Controller, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 63, NO. 5, MAY 2018, pp. 1538-1544.
  51. Julio B. Clempner, Alexander S. Poznyak. A Tikhonov regularized penalty function approach for solving polylinear programming problems. Journal of Computational and Applied Mathematics Vol. 328 (2018), pp. 267–286. http://dx.doi.org/10.1016/j.cam.2017.07.032.
  52. Alex Poznyak. My friend Vadim I. Utkin (sketch on friendship and some photos fromprivate archives). Int J Robust Nonlinear Control. 2018, pp. 1–7. DOI: 10.1002/rnc.4417.
  53. Cesar U. Solis, Julio B. Clempner and Alexander S. Poznyak Extremum seeking by a dynamic plant using mixed integral sliding mode controller with synchronous detection gradient estimation. Int J Robust Nonlinear Control. 2018, pp. 1–13, DOI: 10.1002/rnc.4408.
  54. Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak. Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application. Journal of Computational and Applied Mathematics 355 (2019) 268–282.  https://doi.org/10.1016/j.cam.2019.01.023
  55. Kristal K. Trejo, Julio B. Clempner and Alexander S. Poznyak.  Proximal constrained optimization approach with time Penalization. ENGINEERING OPTIMIZATION 2019, VOL. 51, NO. 7, 1207–1228. https://doi.org/10.1080/0305215X.2018.1519072
  56. T.Poznyak, I. Chairez, A. Poznyak. Output-based modeling of catalytic ozonation by differential neuralnetworks with discontinuous learning law. Process Safety and Environmental Protection, 122 (2019) 83–93. https://doi.org/10.1016/j.psep.2018.09.011
  57. A.Poznyak. My friend Vadim I. Utkin (sketch on friendship and some photos fromprivate archives).  Int J Robust Nonlinear Control. 2019; 29:522–528.  DOI: 10.1002/rnc.4417
  58.  Erick Asiain · Julio B. Clempner · Alexander S. Poznyak. Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies. Soft Computing (2019) 23: 3591–3604. https://doi.org/10.1007/s00500-018-3225-7.

  59. Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak. Extremum seeking by a dynamic plant using mixed integral sliding mode controller with synchronous detection gradient estimation. Int J Robust Nonlinear Control. 2019; 29:702–714. https://doi.org/10.1002/rnc.4408
  60. A.Poznyak, I. Chairez, T. Poznyak. A survey on artificial neural networks application for identification and control in environmental engineering: Biological and Chemical systems with uncertain models. Annual Reviews in Control, 48 (2019) 250–272,  http://doi.org/10.1016/j.arcontrol.2019.07.003
  61. Bonifacio S´anchez, Carlos Cuvas, Patricio Ordaz, Omar Santos-Sánchez, and Alexander Poznyak. Full-Order Observer for a Class of Nonlinear  Systems With Unmatched Uncertainties: Joint Attractive Ellipsoid and Sliding Mode Concepts. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. 2019. http://dx.doi.org/10.1109/TIE.2019.2934066
  62. Julio B. Clempner, Alexander S. Poznyak. Observer and control design in partially observable finite Markov chains. Automatica, 2019. https://doi.org/10.1016/j.automatica.2019.108587 0005-1098/© 2019 Elsevier Ltd.
  63. Poznyak, A.S. Robust Identification under Correlated and Non-Gaussian Noises: WMLLM Procedure. Autom Remote Control 80, 1628–1644 (2019). https://doi.org/10.1134/S0005117919090054
  64. Kristal K. Trejo· Julio B. Clempner· Alexander S. Poznyak. Computing the Bargaining Approach for Equalizing the Ratios of Maximal Gains in Continuous-Time Markov Chains Games. Computational Economics (2019) 54: pp. 933–955. https://doi.org/10.1007/s10614-018-9859-9
  65. C. U. Solis, J. B. Clempner & A. S. Poznyak (2019): Robust integral sliding mode controller for optimization of measurable cost functions with constraints, International Journal of Control, https://doi.org/10.1080/00207179.2019.1662940
  66. Rodrigo Castillo Gonzalez, Julio B. Clempner, Alexander S. Poznyak. Solving traffic queues at controlled-signalized intersections in continuous-time Markov games. Mathematics and Computers in Simulation. 166 (2019) 283–297. https://doi.org/10.1016/j.matcom.2019.06.002
  67. Keshtkar, N.; Keshtkar, S.; Poznyak, A. Deflection Sliding Mode Control of a Flexible Bar Using a Shape Memory Alloy Actuator with an Uncertainty Model. Appl. Sci. 202010, 471, https://doi.org/10.3390/app10020471
  68. A. García-González, A. Poznyak, I. Chairez and T. Poznyak, "Projectional Observers of Nonlinear Systems With Full-State Constraints," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 12, pp. 3078-3082, Dec. 2020, doi: 10.1109/TCSII.2020.2975018.
  69. Julio B. Clempner, Alexander S. Poznyak, A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design, Engineering Applications of Artificial Intelligence,Volume 95, 2020, 103876, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2020.103876.
  70. Vadim Utkin, Alex Poznyak, Yury Orlov, Andrey Polyakov, Conventional and high order sliding mode control, Journal of the Franklin Institute, Volume 357, Issue 15, 2020, Pages 10244-10261, ISSN 0016-0032, https://doi.org/10.1016/j.jfranklin.2020.06.01
  71. Hernandez, A., Poznyak, A. Nonlinear Parametric Estimation of Hamiltonian Systems: Identification as Stabilization. Autom Remote Control 81, 1611–1626 (2020). https://doi.org/10.1134/S0005117920090027
  72. Velázquez D, Poznyak A. Attractive ellipsoid design for robust sliding-mode observation error in stochastic nonlinear discrete-time systems. Int J Robust Nonlinear Control. 2021; 31:69–86. https://doi.org/10.1002/rnc.5270
  73. Alejandra Hernández-Sánchez, Alexander Poznyak, Isaac Chairez, Olga Andrianova, Robust 3-D autonomous navigation of submersible ship using averaged sub-gradient version of integral sliding mode, Mechanical Systems and Signal Processing, Volume 149, 2021, 107169, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2020.107169.
  74. Mariana Ballesteros, Isaac Chairez, Alexander Poznyak, Robust min–max optimal control design for systems with uncertain models: A neural dynamic programming approach, Neural Networks, Volume 125, 2020, Pages 153-164, ISSN 0893-6080, https://doi.org/10.1016/j.neunet.2020.01.016.
  75. Mariana Ballesteros, Isaac Chairez, Alexander Poznyak, Robust optimal feedback control design for uncertain systems based on artificial neural network approximation of the Bellman’s value function, Neurocomputing, Volume 413, 2020, Pages 134-144, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2020.06.085.
  76. Clempner, J.B., Poznyak, A.S. Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games. J Optim Theory Appl 186, 1029–1052 (2020). https://doi.org/10.1007/s10957-020-01729-3