تحلیل مروری پایداری سیستمهای غیرخطی بر اساس روش مستقیم لیاپانوف
DOI:
https://doi.org/10.67753/frsj.v3i2.212Keywords:
پایداری، پایداری مجانبی، تابع لیاپانوف، روش مستقیم لیاپانوف، سیستمهای غیرخطیAbstract
A Review Analysis of the Stability of Nonlinear Systems Based on Lyapunov’s Direct Method
Mohammad Yazanparast, Farhad hakimi, Ahmad Wali Noori
Abstract
Nonlinear systems appear in many mathematical, engineering, physical, and population-related phenomena. Their stability analysis is important for understanding system behavior near equilibrium, especially when explicit solutions of the differential equations are difficult or unavailable. This article presents an analytical review of nonlinear system stability based on Lyapunov’s direct method. The study focuses on the Lyapunov function, its positive definiteness, the behavior of its derivative along system trajectories, the difficulty of constructing a suitable function, recent computational approaches, and several simple illustrative examples. The study relies on reliable sources published after 2015, covering stability theory, nonlinear control, fractional-order systems, neural networks, optimization and methods, and also population and epidemiological models. The review shows that Lyapunov’s direct method can assess stability, asymptotic stability, and, under stronger assumptions, exponential stability without explicitly solving the system equations. Nevertheless, constructing a suitable Lyapunov function remains the most difficult part of the method, which has motivated the development of computational methods, machine-learning approaches, and control Lyapunov functions. The article concludes that Lyapunov’s direct method, despite its practical limitations, remains important for both the analysis and teaching of nonlinear system stability.
Keywords: Asymptotic stability, Lyapunov direct method, Lyapunov function, Nonlinear systems, Stability
References
Bernal, M., Sala, A., Lendek, Z., & Guerra, T. M. (2022). Analysis and synthesis of nonlinear control systems: A convex optimisation approach. Springer International Publishing. https://doi.org/10.1007/978-3-030-90773-0
Cangiotti, N., Capolli, M., Sensi, M., & Sottile, S. (2024). A survey on Lyapunov functions for epidemic compartmental models. Bollettino dell’Unione Matematica Italiana, 17(2), 241–257. https://doi.org/10.1007/s40574-023-00368-6
Dawson, C., Gao, S., & Fan, C. (2023). Safe control with learned certificates: A survey of neural Lyapunov, barrier, and contraction methods for robotics and control. IEEE Transactions on Robotics, 39(3), 1749–1767. https://doi.org/10.1109/TRO.2022.3232542
Doban, A. I., & Lazar, M. (2018). Computation of Lyapunov functions for nonlinear differential equations via a Massera-type construction. IEEE Transactions on Automatic Control, 63(5), 1259–1272. https://doi.org/10.1109/TAC.2017.2736961
Feyzmahdavian, H. R., Besselink, B., & Johansson, M. (2018). Stability analysis of monotone systems via max-separable Lyapunov functions. IEEE Transactions on Automatic Control, 63(3), 643–656. https://doi.org/10.1109/TAC.2017.2727282
Gaby, N., Zhang, F., & Ye, X. (2022). Lyapunov-Net: A deep neural network architecture for Lyapunov function approximation. In 2022 IEEE 61st Conference on Decision and Control (CDC) (pp. 2091–2096). IEEE. https://doi.org/10.1109/CDC51059.2022.9993006
Grüne, L. (2021). Computing Lyapunov functions using deep neural networks. Journal of Computational Dynamics, 8(2), 131–152. https://doi.org/10.3934/jcd.2021006
Hinze, M., Schmidt, A., & Leine, R. I. (2020). The direct method of Lyapunov for nonlinear dynamical systems with fractional damping. Nonlinear Dynamics, 102(4), 2017–2037. https://doi.org/10.1007/s11071-020-05962-3
Jones, M., & Peet, M. M. (2023). A converse sum of squares Lyapunov function for outer approximation of minimal attractor sets of nonlinear systems. Journal of Computational Dynamics, 10(1), 48–74. https://doi.org/10.3934/jcd.2022019
Khalil, H. K. (2021). Lyapunov’s stability theory. In J. Baillieul & T. Samad (Eds.), Encyclopedia of systems and control (2nd ed., pp. 1170–1174). Springer International Publishing. https://doi.org/10.1007/978-3-030-44184-5_77
Li, B., Wen, S., Yan, Z., Wen, G., & Huang, T. (2023). A survey on the control Lyapunov function and control barrier function for nonlinear-affine control systems. IEEE/CAA Journal of Automatica Sinica, 10(3), 584–602. https://doi.org/10.1109/JAS.2023.123075
Liu, S., Jiang, W., Li, X., & Zhou, X.-F. (2016). Lyapunov stability analysis of fractional nonlinear systems. Applied Mathematics Letters, 51, 13–19. https://doi.org/10.1016/j.aml.2015.06.018
Liu, S., Liberzon, D., & Zharnitsky, V. (2020). Almost Lyapunov functions for nonlinear systems. Automatica, 113, 108758. https://doi.org/10.1016/j.automatica.2019.108758
Tuan, H. T., & Trinh, H. (2018). Stability of fractional-order nonlinear systems by Lyapunov direct method. IET Control Theory & Applications, 12(17), 2417–2422. https://doi.org/10.1049/iet-cta.2018.5233
Voßwinkel, R., & Röbenack, K. (2023). Systematic analysis and design of control systems based on Lyapunov’s direct method. Algorithms, 16(8), 389. https://doi.org/10.3390/a16080389
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