<>>

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).