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Alexander Poznyak

                Dr. Alex Poznyak

     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 )
 
2. 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 )
 
3. Finite Learning Automata. Engineering cybernetics. N.3, 1972, 478-490.
 
4. Use of Learning Automata for the Control of Random Search. Automation and Remote control, v.33, N.12, 1972, pp.1992 - 2000
 
5. Learning Automata in Stochastic Programming Problems. Automation and Remote control, v.34, N.10, 1973, pp.1608 - 1619
 
6. Learning Automata in Stochastic Plant Control Problems. Automation and Remote control, v.35, N.5, 1974, pp.777 - 790 ( with L.M.Lyubchik )
 
7. Adaptive Learning Sequential Machines. Automation and Remote control, v.36, N.12, 1975, pp.2034 - 91 (with A.V.Nazin)
 
8. Investigation of the Convergence Algorithms of Functioning of Learning Stochastic Automata . Automation and Remote control, v.36, N.1, 1975, pp.77 - 91
 
9. "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 )
 
10. Stochastic Zero - Sum Game of Two Automata. Automation and Remote control, v.38, N.1, 1977, pp.40 - 47 ( with A.V.Nazin )
 
11. Algorithms for Control of Dynamic Systems on the Basis of Local Optimization. Engineering cybernetics. N.5, 1977, pp.134-142
 
12. "Local" Optimization Algorithms in Asymptotic Control 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 )
 
13. Learning Automata . Journal of Cybernetic 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 Library of CINVESTAV but there are citations).
 
14. 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).
 
15. 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)
 
16. “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).
 
17. Adaptive Control of Closed Priority Queuing Systems. Engineering cybernetics. N., 1978, pp.58-70 (with G.K.kel´mans and L.M. Lyubchik)
 
 18. Convergence of Stochastic Approximation Algorithms in Parameter Identification of Dynamic Plants. Automation and Remote control, v.40, N.8, 1979, pp.1254- 1258
 
 19. Estimating the Parameters of Autoregressing Processes by the Method of Least Squares . International JournalSystems Sciences. 1980, v.5, N11, p.235-254
 
 20. Managing Bunched Deliveries under Uncomplete Information. Automation and Remote control, v.42, N.1, 1981, pp.41-49 (with V.A.Bol´shakov)
 
 21. Convergence of Quasioptimal Identification Algorithms. Automation and Remote control, v.42, N.7, 1981, pp.41-49 (with T I.Tovstukha)
 
 22. Adaptive Locally Optimal Control. International Journalof Systems Sciences. 1981, v.12, N.2, pp.235-254 (with G.K.Kelmans and A.V.Chernitser)
 
 23. 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)
 
 24. 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.
 
25. Optimal Algorithms 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 library of CINVESTAV but there are citations).
 
 26. Asymptotic Properties of Stochastic Approximation Procedures in the Case of Correlated Noise. Automation and Remote control, v.45, N.12, 1984, pp.1601-1615 (with D.O.Chikin)
 
 27. Gradient procedures of stochastic approximation with dependent noise and their asymptotic behavior . International JournalSystems Sciences. 1985, v.16, N.8, pp.917 - 949 (with D.O.Chikin)
 
 28. 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)
 
 29. 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)
 
 30. 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)
 
 31. 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 library of CINVESTAV but there are citations).
 
 32. 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 )
 
 33. Extension of the Class of Nonlinear Transformations in Recurrent Parametric Prediction Algorithms , Automation and Remote control, v.51, N8, part 2, 1990, pp.1418 - 1424 ( with S.N.Tikhonov )
 
 34. Strong consistency of the Extended Least Squares Method with Nonlinear Error Transformation . Automation and Remote Control, v.51,N8,part 2, 1990, pp.1105 - 1112 ( with S.N.Tikhonov)
 
 35. H-inf. Theory of Control: open problems. 1990. rev. GOSNIIAS-IPU, Moscow. (with G.Sebryakov, E.Fedosov and A.Semionov) (not available in the library of CINVESTAV but there are citations).
 
 36. On fundamental principles of Robust Control. 1991rev.MFTI, Moscow (not available in the library of CINVESTAV but there are citations).
 
 37. Review on Robust control Theory. Eng. Cybernetics, 1991, vol.1, pp.10-48 (with A.Semionov) (after 1984 the library did not get this journal).
 
 38. 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)
 
 39. 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)
 
40. 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)
 
 41. 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)
 
 42. A new Form of the Law of Large Numbers for Dependent Sequences and Its Application to the Analysis of Identification Algorithms. Doklady Academii Nauk. ser Cyb. and Control Theory. 1992, v.323, No.8. pp.645-650 (not available in the library of CINVESTAV but there are citations).
 
 43. 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)
 
 44. Use of Recursive stochastic Algorithm for Neural networks Synthesis. Appl. Math. and Modeling, v.17, pp.444 - 448, 1993 (with K.Najim and M.Chtourou)
 
 45. 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)
 
 46. 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)
 
 47. A. S. Poznyak and E.N.Sanchez. Nonlinear System Approximation by Neural Networks: Error Stability Analysis. Intelligent Automation and Soft Computing. Vol.1, N3, pp.247-258, 1995.
 
 48. 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.
 
 49. A. S. Poznyak, M.I.Taksar. Robust Control of Linear Stochastic Systems with Fully Observable State. Applicationes Mathematicae (Polonia), v.24, No. 1, pp.35-46, 1996.
 
 50. 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.
 
 51. 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.
 
 52. A. S. Poznyak, K.Najim and M.Chtourou. Analysis of the Behavior of Multilevel Hierarchical Systems of Learning Automata and Their Application for Multimodal Function Optimization. Int. Journal of Systems Science, v.27, No. 1, pp.97-112, 1996.
 
 53. A. S. Poznyak, K.Najim and M.Chtourou. Learning Automata with Continuous Inputs and Their Application for Multimodal Function Optimization. Int. Journal of Systems Science, v.27, No. 1, pp.87-95, 1996.
 
 54. 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.
 
 55. 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.
 
 56. A. S. Poznyak, K.Najim, On Nonlinear Reinforcement Schemes. IEEE Transactions on Automatic Control, v.42, No.7, pp.1002-1004, 1996.
 
57. 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.
 
58. 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.
 
59. A. Poznyak, Wen Yu, H.Sira Ramírez and E.Sanchez, Robust Identification by Dynamic Neural Networks with Sliding Mode Learning. Appl. Math. and Comp.Sci., v.8, No. 1, pp. 101-110, 1998.
 
60. E.Gómez Ramírez, and A. S. Poznyak . Structure Adaptation of Stochastic Neural Nets Using Learning Automata Technique. Int.Journal System Sciences. v.29, No.2, 139-148, 1998
 
61. A. S. Poznyak, and K.Najim Learning Automata with Continuous Inputs and Changing Number of Action. Int. Journal of Systems Science, v.27, No. 12, pp.1467- 1472, 1996.
 
62. A.S. Poznyak, and J. Medel. Matrix Forgetting Factor. Int. Journal of Systems Science, v. 30, No: 2, pp. 165-174, 1999.
 
63. 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
 
64. A.S. Poznyak, and K. Najim. Adaptive Control of Constrained Markov Chains. IFAC Automatica, v.35, Issue 5, pp. 777-789, 1999
 
65. A.S. Poznyak. Robust Control of Nonstationary Infinite Dimensional Systems. Automation and Remote Control, V.58, No.10, 1998, pp. 1665-1680 (translated from Automatika i Telemekanika, No. 10, pp.134 - 154, 1997.)
 
66. A.S. Poznyak, and J. Medel. Matrix Forgetting with Adaptation. Int. Journal of Systems Science, vl.30, No.8, pp. 865-878, 1999.
 
67. V.G. Boltyanskii and A. S. Poznyak. Robust Maximum Principle in Minimax Control. International Journal of Control, v.72, No: 4, 1999, pp.305-314 .
 
68. A. S. Poznyak and Alejandro Rodríguez Palacio. Robust Boundary Control for Linear Time-Varying Infinite Dimensional Systems. International Journal of Control, vol.72, No: 5, 1999, 392-403.
 
69. 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.
 
70. A. S. Poznyak and Joel Correa Martínez. Variable Structure Robust State and Parameter Estimator. International Journal Adaptive Control and Signal Processing, 2001, v.15, pp. 179-208.
 
71. 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.
 
72. Rafael Martínez-Guerra, Alex Poznyak and Vicente Diez de León. 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
 
73. 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).
 
74. A. S. Poznyak and Wen Yu. Robust Asymptotic Neuro Observer with Time Delay Term.
International Journal Robust and Nonlinear Control. 10, pp..535-559, 2000.
 
75. A. S. Poznyak and K.Najim Bush-Mosteller Learning for a Zero-sum Repeated Game with Random Pay-offs. International JournalSystem Sciences, 2001, v.32, No: 10, pp. 1251-1260.
 
76. K.Najim, A. S. Poznyak and E.Gómez. Adaptive policy for Two Finite Markov Chains Zero-Sum Stochastic Games with Incomplete Information. IFAC Automatica, 2001, 37, pp. 1008-1018.
 
77. A. S. 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.
 
78. Wen Yu and A. S. Poznyak. Indirect Adaptive Control via Parallel dynamic neural networks. IEE-Proceedings, Control Theory and applications, v.146, No:1, January 1999, pp. 25-30.
 
79. Poznyak A.S. and E.N. Sanchez. Non-linear System On-line Identification Using Dynamic Neural Networks. Intelligent Automation and Soft Computing. Vol.5 No.3, pp.201-209, 1999.
 
80. Poznyak A.S., R.Martínez-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.
 
81. 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.
 
82. Joel Correa Martínez 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.
 
83. 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.
 
84.   J. Medel and A. S. Poznyak, Adaptive Tracking for DC- Derivate Motor Based on Matrix Forgetting, Computation and Systems, Vol. 4, N.- 3, 2001, January-March, pp.205-212.
 
85.   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.
86.   A.Cabrera, A. S. Poznyak, T.Poznyak and J.Aranda, Identification of Feedbatch Fermentation Process: Comparison of Computational and Lasboratories Experiments, Bioprocess and Biosystems Engineering, v.24, 2002, pp.319-327.
 
87.   A. S. Poznyak, T.Duncan, B.Pasik-Duncan and V. Boltyansky, Robust Stochastic maximum Principle for Multi-model worst case optimization, International Journalof Control, Vol 75, No 13 , 2002, pp.1032-1048.
 
88.   A. S. Poznyak, T.Duncan, B.Pasik-Duncan and V. Boltyansky, Robust Optimal Control for Minimax Stochastic Linear Quadratic Problem, International Journalof Control, Vol 75 No 14, 2002 , pp.1054-1065.
 
89.   A. S. Poznyak, T.Duncan, B.Pasik-Duncan and V. Boltyansky, Robust Maximum Principle for Minimax LQ-Problem, International Journalof Control, Vol 75 No 15, pp. 1770-1777, 2002.
 
90.   Rafael Martínez-Guerra, Alex Poznyak, E.Gortcheva and Vicente Díaz de León. Robot Angular Link Velocity Estimation in Presence of High-level Mixed Uncertainties. IEE Proc-Control Theory and Applications,. 2000, V. 147, N0:5, pp.515-522.
 
91.   A. Cabrera, A. S. 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.
 
92.   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.
 
93.   V.G. Boltyanski and A.S. Poznyak. Robust maximum principle for a measured space as uncertainty set. Dynamic Systems & Applications, Dynamic Publishers, Inc, v.11, pp.277-292, 2002.
 
94.   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.
 
95.   R. Aguilar, A. Poznyak, R. Martínez-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.
 
96.   R. Aguilar, R. Martínez-Guerra and A. Poznyak, "Reaction Heat Estimation in Continuous Chemical Reactors Using High Gain Observer" Chemical Engineering Journal, 87(3), 2002, pp. 351-356.
 
97.   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.
 
98.   A. Poznyak, Robust Stochastic maximum Principle: Complete Proof and Discussions, Mathematical Problems in Engineering, v.8, No: 4-5, 2002, pp. 389-412.
 
99.   E. Gómez, K. Najim and A. Poznyak, Saddle-point Calculation for Constrained Finite Markov Chains, International Journal of Economics, Dynamics and Control, Elsivier, v. 27, 2003, pp. 1833-1853.
 
100.           Godoy-Alcantar, E. Gómez-Ramírez, 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.
 
101.           M. Godoy-Alcantar, A. Poznyak, and E. Gómez-Ramírez, 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.
 
102.           Godoy-Alcantar, A. Poznyak, and E. Gómez-Ramírez. “Markov Chains Constrained Games: ALP-approach ”. Submitted to the International Journal of Game Theory, submission date: February 4, 2003.
 
103.           A. Poznyak, Y.Shtessel and C.Jimenez Gallegos, “Min-Max Sliding-Mode Control for Multimodel linear Time varying Systems” IEEE Transactions on Automatic Control, v.48, No.12, Dec. 2003, pp. 2141-2150.
 
104.          A. Poznyak, L.Fridman and F.Bejarano, Mini-Max Integral Sliding-Mode Control for Multimodel linear Uncertain Systems, IEEE Transactions on Automatic Control, v.49, No:1, 2004, pp.97-102.
 
105.          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 Computer Science), Allerton Press, Inc., NY, No.2, 2004, pp. 40-53.
 
106.          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.
 
107.          K. Najim, A. Poznyak and E.Ikonen. Optimization based on a team of automata with binary output, Automatica, 40, 2004, pp.1349-1359.
 
108.          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.
 
109.          A. Poznyak, Wen Yu, T. Poznyak and K. Najim, Simultaneous State and Parameters Estimation of an Ozonation reactor Based 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.
 
110.          Rafael Martínez-Guerra, Ricardo Aquilar and Alexander Poznyak, A New Sliding-Mode Observer Design for Monitoring in Chemical Reactors. Journal of Dynamic systems, Measurements, and Control. Transactions of the ASME. V.126, pp.473-478, 2004.
 
111.          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.
 
112.          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.
 
113.          L. Fridman, A. Poznyak and F. Bejarano, Decomposition of the Min-Max Multimodel Problem via Integral Sliding Mode. International Journal Robust Nonlinear Control, v.15, pp. 559-574, 2005.
 
114.          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.
 
115.          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).
 
116.          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.
 
117.          J.Davilla, L.Fridman and A. Poznyak. Observation and identification of mechanical systems via second order sliding mode. International Journal of Control, 2006, Vol. 79, No.10, pp. 1251-1262.
 
118.          A. Poznyak. Book reviews “Stochastic processes: Optimization and Analysis” by K Najim and E.Ikkonen. Automatica IFAC, Vol.42, No:7, 2006, pp.1237-1238.
 
119.          I Chairez, A. Poznyak and T. Poznyak. New Sliding Mode Learning Law for Dynamic Neural Network Observer. Transaction of IEEE on Circuit and Systems II, Vol.53, No: 12 (December), 2006, pp.1338-1342.
 
120.          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.
 
121.          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.
 
122.          Jose H. Perez and A. Poznyak. Physical Model-Free observer for Nuclear Reactors using Differential Neural Networks with Sliding Mode Learning. Research in Computer Science (Journal of IPN), Special Issue: Neural Networks and Associative Memories. Vol.21, 2006, pp. 181-194.
 
123.          Manuel Jimenez-Lizarraga and Alex Poznyak. Robust Nash Equilibrium in multi-model LQ differential games: Analysis and extraproximal numerical procedure. Optimal Control Applications and Methods. 2007, Vol 28 , pp. 117-141.
 
124.          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.
 
125.          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
 
126.          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.
 
127.           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.
 
128.          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.
 
129.          F.J. Bejarano, L. Fridman and A. Poznyak. 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.
 
130.          A. Poznyak, J. Escobar and Y. Shtessel, “Sliding modes time varying matrix identification for stochastic system”, International Journal of Systems Science, Vol 38, 11, 2007, pp 847-859.
 
131.          S. Baev, I. Shkolnikov, Y. Shtessel and A. Poznyak, “Sliding mode parameter identification of systems with measurement noise”, International Journal of Systems Science, Vol 38, 11, 2007, pp 871-879.
 
132.          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.
 
133.          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).