Alexander Poznyak
Dr. Alexander S. Poznyak Gorbatch

 

Capítulos en extenso de investigación original en libros especializados :

1.  Recurrent Optimization Algorithms in Uncertainties. Itogi Nauki i Tekhniki, Ser. Tech. Kibernetika, v.16, pp.3-69, 1983 (with Ya.Z.Tzypkin)

2.  Adaptive Finite Systems. Itogi Nauki i Tekhniki, Ser. Tech. Kibernetika, v.19, pp.69-106, 1986 (with Ya.Z.Tzypkin and A.V.Nazin)

3.  Optimal Methods of Adaptive Identification. Itogi Nauki i Tekhniki, Ser. Tech. Kibernetika, v.29, pp.3-44, 1990 (with Ya.Z.Tzypkin and S.N.Tikhonov)

4.  Alex S. Poznyak. Deterministic output noise effects in sliding moded observation. In book “Variable Structure Systems: from principles to implementation”
    (ed. By A.Sabanovic, L.Fridnman and S.Spurgeon), Chapter 3, pp.45-80, IEE-Press, London, 2004, ISBN 0-86341-350-1.

5.  Alex S. Poznyak. Stochastic output noise effects in sliding moded observation. In book “Variable Structure Systems: from principles to implementation”
    (ed. By A.Sabanovic, L.Fridnman and S.Spurgeon), Chapter 3, pp.81-98, IEE-Press, London, 2004, ISBN 0-86341-350-1.

6.  L.Fridman, A.Poznyak, Yu. Stessel, J.Bejerano, Sliding Mode multimodel Control, Lecture Notes in Control and Information Science: Advances in Variable Structure and Sliding
     Mode Control. Springer, Vol. 334, 2006, pp. 247-270.

7.  A.Poznyak, Yu.Shtessel, L.Fridman, J.Davila and J.Escobar, Identification of Parameters in Dynamic Systems via Sliding-Mode Techniques. Lecture Notes in Control and
     Information Science: Advances in Variable Structure and Sliding Mode Control. Springer, Vol. 334, 2006, pp. 313-350.

8.  Isaac Chairez, Alexander Poznyak and Tatyana Poznyak.  “High  order Sliding Mode Neurocontrol for uncertain nonlinear SISO systems: theory and applications”, en G Bartolini
     et al. [Eds.] Modern Sliding Mode Control Theory, LNCIS 375: 179-200, 2008. Springer-Verlag Berlin Heidelberg, 2008 (Capitulo en libro).

9.  Alejandro García, Alexander Poznyak, Isaac Chirez and Tatyana  Poznyak. “Differntial Neural Networks Observer: development, stability análisis and implementation”, en Petr
    Husek [Ed.] Systems, Structure and Control, IN-TEH, Vienna, Austria, pp. 61-82, 2008 (Capitulo en libro).

10. Alexander Poznyak, “Least Squares Method For Dynamic Systems Identification”, Aportaciones Matemática, Comunicaciones 39 (volumen especial “Modelos en Estadistica y
     Probabilidad”), Sociedad Matemática Mexicana, 2008, p. 107-150.

11. Alejandro Garcia, Isaac Chairez and Alexander Poznyak, Hybrid Differential Neural Network Identifier for Partially Uncertain Hybrid Systems, Chapter 7, pp. 149-168, in the book
     “Recent Advances in Intelligent Control Systems, Ed. Wen Yu, Springer, London, 2009.

12.  M. Escudero, T. Poznyak, I. Chairez, A. Garcia and A. Poznyak. GENERAL APPROACH FOR THE ADAPTIVE LINEARIZATION OF UNCERTAIN NONLINEARSYSTEMS
      BASED ON NUMERICAL APPROXIMATION. Chapter 8, In: Advances in Mathematics Research, Volume 15, Editor: Albert R. Baswell, pp. 1-22, ISBN 978-1-61324-179-0c,
      2011 Nova Science Publishers, Inc.

13  Vadim I. Utkin, Alexander S. Poznyak, Adaptive Sliding Mode Control, In the book “Advances in SlidingMode Control: Concept, Theory and Implementation, B. Bandyopadhyay, S. Janardhanan, and Sarah Spurgeon (Eds.), Lecture Notes in Control and Information Sciences, v. 440, Springer-Verlag Berlin Heidelberg, 2013, pp.21-53.

14  Alex S. Poznyak. Chapter 3. Stochastic Sliding Mode Control and State Estimation.. In Advances in Variable Structure Systems and Sliding Mode Control Theory and Applications (Eds. Shihua Li, Xinghuo Yu, Leonid Fridman, Zhihong Man  and Xiangyu Wang). Seies: Studies in Systems, Decision and Control, Volume 115, Springer, 2018, pp. 57-100. Springer International Publishing AG 2018. DOI 10.1007/978-3-319-62896-7_3.

15  Alexander S. Poznyak. Dr. Alexander Semionovich Poznyak Gorbatch: Biography. Chapter 1, pp.1-24. Springer International Publishing AG 2018, J.B. Clempner and W. Yu (eds.), New Perspectives and Applications of Modern Control Theory, DOI 10.1007/978-3-319-62464-8_1.

16  Sanchez B., Ordaz P., Flores E., Poznyak A. (2020) Robust State Estimation for Underactuated Systems Using Sliding Modes and Attractive Ellipsoid Method. In: Hernandez E., Keshtkar S., Valdez S. (eds) Industrial and Robotic Systems. LASIRS 2019. Mechanisms and Machine Science, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-030-45402-9_20

 17  Cruz-Ortiz D., Chairez I., Poznyak A. (2020) Robust Control of a Master-Slave Manipulator Under Restricted Task-Space. In: Hernandez E., Keshtkar S., Valdez S. (eds) Industrial and Robotic Systems. LASIRS 2019. Mechanisms and Machine Science, vol 86. Springer, Cham.  https://doi.org/10.1007/978-3-030-45402-9_23

   

Libros especializados cubriendo el trabajo del investigador :
.

 1. Optimization of Uncertained Mechanical Systems . MFTI .1984 ( with I.P.Devyaterikov ) - in Russian.

2. Estimating of Linear Systems  Parameters in Noises Presents. MFTI .1985 ( with I.P.Devyaterikov ) - in Russian.

3. Adaptive Choice of Variants . Nauka. 1986 ( with A.V.Nazin ) - in Russian.

4. H-inf- Theory of Control : Phenomen, Achievements, Perspectives and Open Problems. GOS NIIAS, ICS. 1990 ( with G.G.Sebryakov, A.V.Semenov and E.A.Fedosov )
    - in Russian.

5. The Basises of Robust Control ( H-inf- Theory ) . Textbook. Lecture Course }. MFTI. 1991 - in Russian.

6.  Learning Automata: Theory and Application. Pergamon Press, Elsivier, Cambridge, England, 1994 ( with K.Najim )

7. Learning Automata and Stochastic Optimization . Springer.- Verlag, London Limited 1997 (with K.Najim).

8. A.Poznyak, K.Najim and  E.Gomez. Self-Learning Control of Finite Markov Chains , Marcel & Decker, NY, 2000 .

9.  A.S.Poznyak, E.N.Sanchez and Wen Yu. Dynamic Neural Networks for Nonlinear Control: Identification, State Estimation and Trajectory Tracking New Jersey  -London –
    Singapour - Hong-Kong, World Scientific. 2001

10. A.Poznyak, MODELADO MATEMÁTICO de los Sistemas Mecánicos, <>Electricos y Electromecánicos, Pearson, 2005 (en firmacion de contrato).

11. A.Poznyak, Advanced Mathematical Tools for Automatic Control Engineers. Vol.1: Deterministic Technique, Elsevier, New York, 2008.

12.  A.Poznyak, Advanced Mathematical Tools for Automatic Control Engineers. Vol.2: Stochastic Tools, Elsevier, New York, 2009.

13.  “New Trenes in Electrical Engineering, Automatic Control, Computing and Comunication Sciences” Edited by C.Coello Coello, A.Poznyak, J.A. Moreno Cadenas and
       V.Azhmyakov, LOGOS; Verlag, Berlin, Gemany. 2010.

14.  Boltyanski V.G. and Poznyak A.S., Robust Maximum Principle: Theory and Application, Birkhauser, New York, 2011.

15 Fridman L., Poznyak A. and Bejarano F.J., Robust Output Optimal Control via Integral Sliding Mode, Birkhauser, New York, 2014.

16 Poznyak A., Polyakov A. and Azhmyakov V. Attractive Ellipsoids in Robust Control. Birkhauser, New York, 2014.

17  Tatyana I. Poznyak, Isaac Chairez Oria, Alexander S. Poznyak Ozonation and Biodegradation in Environmental Engineering: Dynamic Neural Network Approach. Elsevier, 2019. Netherlands, United Kingdom ISBN: 978-0-12-812847-3

18  Vadim Utkin, Alex Poznyak, Yury V. Orlov, Andrey Polyakov,  Road Map for Sliding Mode Control Design, SpringerBriefs in Mathematics,  2020, Springer International Publishing, Print ISBN: 978-3-030-41708-6, ISBN: 978-3-030-41709-3, https://doi.org/10.1007/978-3-030-41709-3