Synthesis H∞ of an observers of the state of a nonlinear continuous dynamical systems, linear in control and disturbance

 
Audio is AI-generated
32

Abstract

Context and relevance. In the context of the increasingly widespread use and distribution of aircraft and complex aerospace systems, the development of joint estimation and control systems is of great importance, in which the control algorithm uses an estimation of the state vector based on the results of accumulated measurement information instead of the state vector. In modern control theory, one of the effective approaches to solving this problem is the methods of synthesizing H∞ - controllers and H∞-state observers. The use of these methods enables building a robust controllers or observers. Some of the most popular ways to solve such problems are associated with the use of linear matrix inequalities, as well as the frequency method associated with the Fourier transform. However, when considering complex engineering problems, their application often complicates the solution. Therefore, this paper proposes an approximate method for solving the problem of finding an observer for nonlinear continuous dynamical systems that are linear in control and disturbance. Objective. The first goal is to formulate and prove a sufficient condition for an H∞-observer for nonlinear continuous dynamical systems that are linear in control and disturbance, in the presence of uncertainty in the initial conditions, limited external influences and measurement errors over a semi-infinite time interval of system operation. The second goal is to formulate an approximate method for synthesis of an H∞-observer and test the proposed approach on a model example. Hypothesis. The paper proposes an approximate method for solving the problem of finding an observer for dynamic systems that are nonlinear in state, similar to the methods used for linear systems. The hypothesis arose as a result of analyzing the solution of applied synthesis problems in nonlinear systems in the absence of limited external influences. Its implementation is associated with the extension of the methodology for applying Riccati equations with coefficients depending on the state vector to the problems of synthesis of an observer for a class of nonlinear systems that are linear in control and disturbance. Methods and materials. The sufficient conditions for synthesis of an observer for nonlinear continuous dynamical systems that are linear in control and disturbance, in the presence of uncertainty in the initial conditions, limited external influences, and measurement errors over a semi-infinite time interval of system operation are proven. When solving the observer synthesis problem, it is proposed to look for an approximate solution by analogy with the theory of linear systems, that is, the original nonlinear dynamical system is transformed by factorization to a structure similar to a linear one, with matrices depending on the state vector. To implement the developed method and solve model examples, the MATLAB mathematical package was used. Results. A model example was solved to test the proposed approach. The graphs of the state vector change and its estimate demonstrate the desired quality of transient processes under conditions of incomplete information about the object's state vector. Conclusions. As a result, the sufficient conditions of the observer for nonlinear continuous dynamical systems that are linear in control and disturbance were formulated and proven. An approximate approach to solving the observer synthesis problem and a step-by-step solution algorithm were proposed. A model example was solved and graphs of transient processes and their estimates are presented, demonstrating the results of numerical modeling. Analysis of the error behavior confirms the operability of the proposed method.

General Information

Keywords: H-infinity observer, closed loop control, semi-infinite period of time, nonlinear dy-namical system

Journal rubric: Optimization Methods

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2025150203

Received 06.05.2025

Accepted

Published

For citation: Panteleev, A.V., Yakovleva, A.A. (2025). Synthesis H∞ of an observers of the state of a nonlinear continuous dynamical systems, linear in control and disturbance. Modelling and Data Analysis, 15(2), 47–69. (In Russ.). https://doi.org/10.17759/mda.2025150203

© Panteleev A.V., Yakovleva A.A., 2025

License: CC BY-NC 4.0

References

  1. Koobloch, H.W., Isidori, A. Flockerzi, D. (1993). Topics in control theory. DMV-Seminar; Bd. 22, Basel; Springer.
  2. Doyle, J., Francis, B., Tannenbaum, A. (1990). Feedback Control Theory. Macmillan Publishing Co.
  3. Skogestad, S., Postlethwaite, I. (2005). Multivariable Feedback Control: Analysis and Design. John Wiley and sons.
  4. Поляк, Б.Т., Щербаков, П.С. (2002). Робастная устойчивость и управление. М.: Наука.
    Polyak, B.T., Shcherbakov, P.S. (2002). Robastnaya ustoychivost' i upravleniye [Robust stability and control]. Nauka, Moscow. (In Russ.).
  5. Green, M., Limebeer, D.J.N. (2012). Linear Robust Control. Dover Publications.
  6. Simon, D. Optimal State Estimation. (2006). Kalman, and Nonlinear Approaches. John Wiley and sons.
  7. Поляк, Б.Т., Хлебников, М.В., Щербаков, П.С. (2014). Управление линейными системами при внешних возмущениях: Техника линейных матричных неравенств. М.: URSS/ЛЕНАНД.
    Polyak, B.T., Khlebnikov, M.V., Shcherbakov, P.S. (2014). Upravleniye lineynymi sistemami pri vneshnikh vozmushcheniyakh: Tekhnika lineynykh matrichnykh neravenstv [Control of linear systems under external disturbances: Technique of linear matrix inequalities]. URSS/LENAND, Moscow. (In Russ.).
  8. Хлебников, М.В., Поляк, Б.Т., Кунцевич, В.М. (2011). Оптимизация линейных систем при ограниченных внешних возмущениях (техника инвариантных эллипсоидов). Автоматика и телемеханика, № 11, 9–59.
    Khlebnikov, M.V., Polyak, B.T., Kuntsevich, V.M. (2011). Optimization of linear systems  subject to bounded exogenous disturbances: The invariant ellipsoid technique. Autom. Remote Control, 72(11), 2227–2275.
  9. Поляк, Б.Т., Хлебников, М.В., Рапопорт, Л.Б. (2019). Математическая теория автоматического управления. М.: URSS/ЛЕНАНД.
    Polyak, B.T., Khlebnikov, M.V., Rapoport, L.B. (2019). Matematicheskaya teoriya avtomaticheskogo upravleniya [Mathematical theory of automatic control].     URSS/LENAND, Moscow. (In Russ.).
  10. Баландин, Д.В., Коган, М.М. (2013). Минимаксная фильтрация:-оптимальные наблюдатели и обобщенные -оптимальные фильтры. Автоматика и телемеханика, № 4, 43–58.
    Balandin, D.V., Kogan, M.M. (2013). Minimax filtering: -optimal observers and generalized -optimal filters. Autom. Remote Control, 74(4), 575–587.
  11. Shaked, U., Theodor, Y. (1992). -optimal estimation: a tutorial. 31st IEEE Conf. Decision Contr., vol.2 (pp. 2278–2286), New York, NY, USA.
  12. Пантелеев, А.В., Яковлева, А.А. (2023). Достаточные условия существования наблюдателя состояния линейных непрерывных динамических систем. Моделирование и анализ данных, 13(2), 36–63. https://doi.org/10.17759/mda.2023130202
    Panteleev, A.V., Yakovleva, A.A. (2023). Sufficient Conditions for the Existence of a H-infinity State Observer for Linear Continuous Dynamical Systems. Modelling and Data Analysis, 13(2), 36–63. (In Russ., а in Engl.). https://doi.org/10.17759/mda.2023130202
  13. Li, H., Fu, M. (1997) A linear matrix inequality approach to robust H1 filtering. IEEE Trans. Signal Processing, 45(9), 2338–2350.
  14. Shue, S., Agarwal, R.K. (1999). Design of automatic landing systems using mixed   J. of Guidance, Control and Dynamics, 22, 103–114.
  15. Lungu, R., Lungu, M. (2015) Control of the aircraft lateral-directional motion during landing using the control and the dynamic inversion. of the Romanian Academy. Ser. A (pp. 547–555), V. 16, № 64.
  16. Banks, H.T., Lewis, B.M., Tran, H.T. (2007). Nonlinear feedback controllers and compensators: A state-dependent Riccati equation approach. Computational Optimization and Applications, 37(2), 177–218.
  17. Cloutier, J.R., DSouza, C.N., Mracek, C.P. (1996). Nonlinear regulation and nonlinear H-infnity control via the state-dependent Riccati equation technique. Part 1, theory; Part 2, Examples. In Proceedings of the 1st International Conference on Nonlinear Problems in Aviation and Aerospace (pp. 117–141), Daytona Beach, USA.
  18. Belkzadeh, H., Taghirad, H.D. (2012). Observer based on the differential state-dependent Riccati equation. J. Automation and Computing, 9(4), 358–368. DOI: 10.1007/s11633-012-0656-y

Information About the Authors

Andrey V. Panteleev, Doctor of Physics and Matematics, Professor, Professor, Head of the Department of Mathematical Cybernetics, Institute of Information Technologies and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-2493-3617, e-mail: avpanteleev@inbox.ru

Aleksandra A. Yakovleva, Postgraduate Student, Moscow Aviation Institute, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-1544-9105, e-mail: ayakovleva982@gmail.com

Metrics

 Web Views

Whole time: 133
Previous month: 40
Current month: 9

 PDF Downloads

Whole time: 32
Previous month: 6
Current month: 0

 Total

Whole time: 165
Previous month: 46
Current month: 9