事件触发控制的耦合系统的输入到状态稳定性
Input-to-State Stability of Coupled Systems with Event-Triggered Control
摘要: 本文研究了基于事件触发脉冲控制(ETIC)策略的网络上一般非线性脉冲耦合系统的输入到状态稳定性(ISS),其中脉冲序列由一些预先设计的事件条件生产。与传统的事件触发控制不同,ETIC是指控制器仅在某些与状态相关的事件条件被触发时才被激活,而且在两个连续的触发脉冲瞬间之间没有任何控制传输。事件触发脉冲通常被认为是一类与状态相关的脉冲,其中事件触发机制(ETM)是一个脉冲发生器。利用ETIC策略和图论的方法,建立基于Lyapunov的准则,可以有效避免无限快的触发行为,保证非线性耦合脉冲系统的ISS。为了证明理论结果,我们给出了一个数值模拟的例子来证明理论结果的有效性。
Abstract: This paper investigates the input-to-state stability (ISS) of a nonlinear impulse coupled system on a network based on an event-triggered impulse control (ETIC) strategy, where the impulse sequence is produced by some pre-designed event conditions. In contrast to traditional event-triggered control, ETIC means that the controller is activated only when some state-dependent event condition is triggered without any control transfer between two consecutive triggering pulse instants. Event- triggered impulses are generally considered to be a class of state-dependent impulses, where the event-triggered mechanism (ETM) is an impulse generator. Using the ETIC strategy and graph-theo- retic methods, a Lyapunov-based criterion can be constructed to effectively avoid infinitely fast triggering behaviors and to guarantee ISS for nonlinearly coupled pulsed systems. In order to prove the theoretical results, an example of numerical simulation is given to demonstrate the validity of the theoretical results.
文章引用:杨弘, 马楠. 事件触发控制的耦合系统的输入到状态稳定性[J]. 理论数学, 2024, 14(3): 172-185. https://doi.org/10.12677/pm.2024.143097

参考文献

[1] Strogatz, S.H. (2001) Exploring Complex Networks. Nature, 410, 268-276. [Google Scholar] [CrossRef] [PubMed]
[2] Grillner, S. (2006) Biological Pattern Generation: The Cellular and Computational Logic of Networks in Mtion. Neuron, 52, 751-766. [Google Scholar] [CrossRef] [PubMed]
[3] Chandrasekar, A., Rakkiyappan, R. and Cao, J.D. (2015) Impulsive Synchronization of Markovian Jumping Randomly Coupled Neural Networks with Partly Unknown Transition Probabilities via Multiple Integral Approach. Neural Networks, 70, 27-38. [Google Scholar] [CrossRef] [PubMed]
[4] Li, W.X., et al. (2012) Global Stability for Discrete Cohen-Grossberg Neural Networks, with Finite and Infinite Delays. Applied Mathematics Letters, 25, 2246-2251. [Google Scholar] [CrossRef
[5] Wayman, J.A. and Varner, J.D. (2013) Biological Systems Modeling of Metabolic and Signaling Networks. Current Opinion in Chemical Engineering, 2, 365-372. [Google Scholar] [CrossRef
[6] Sun, R. (2010) Global Stability of the Endemic Equilibrium of Multigroup SIR Models with Nonlinear Incidence. Computers & Mathematics with Applications, 60, 2286-2291. [Google Scholar] [CrossRef
[7] Kuniya, T. (2011) Global Stability Analysis with a Discretization Approach for an Age-Structured Multigroup SIR Epidemic Model. Nonlinear Analysis: Real World Applications, 12, 2640-2655. [Google Scholar] [CrossRef
[8] Guo, H., Li, M. and Shuai, Z. (2008) A Graph-Theoretic Approach to the Method of Global Lyapunov Functions. Proceedings of the American Mathematical Society, 136, 2793-2802. [Google Scholar] [CrossRef
[9] Li, M.Y. and Shuai, Z. (2010) Global-Stability Problem for Coupled Systems of Differential Equations on Networks. Journal of Differential Equations, 248, 1-20. [Google Scholar] [CrossRef
[10] Su, H., Li, W. and Wang, K. (2012) Global Stability Analysis of Discrete-Time Coupled Systems on Networks and Its Applications. Chaos: An Interdisciplinary Journal of Nonlinear Science, 22, Article ID: 033135. [Google Scholar] [CrossRef] [PubMed]
[11] Suo, J., Sun, J. and Zhang, Y. (2013) Stability Analysis for Impulsive Coupled Systems on Networks. Neurocomputing, 99, 172-177. [Google Scholar] [CrossRef
[12] Chen, H. and Sun, J. (2012) Stability Analysis for Coupled Systems with Time Delay on Networks. Physica A: Statistical Mechanics and Its Applications, 391, 528-534. [Google Scholar] [CrossRef
[13] Guo, Y., Li, Y. and Ding, X. (2017) Razumikhin Method Conjoined with Graph Theory to Input-to-State Stability of Coupled Retarded Systems on Networks. Neurocomputing, 267, 232-240. [Google Scholar] [CrossRef
[14] Cao, J., Li, P. and Wang, W. (2006) Global Synchronization in Arrays of Delayed Neural Networks, with Constant and Delayed Coupling. Physics Letters A, 353, 318-325. [Google Scholar] [CrossRef
[15] Goebel, R., Sanfelice, R.G. and Teel, A.R. (2009) Hybrid Dynamical Systems: Robust Stability and Control for Systems That Combine Continuoustime and Discrete-Time Dynamics. IEEE Control Systems Magazine, 29, 28-83. [Google Scholar] [CrossRef
[16] Borgers, D.P. and Heemels, W.P.M.H. (2014) Event-Separation Properties of Event-Triggered Control Systems. IEEE Transactions on Automatic Control, 59, 2644-2656. [Google Scholar] [CrossRef
[17] Du, W., Leung, S.Y.S., Tang, Y., et al. (2016) Differential Evolution with Event-Triggered Impulsive Control. IEEE Transactions on Cybernetics, 47, 244-257. [Google Scholar] [CrossRef
[18] Tan, X., Cao, J. and Li, X. (2018) Consensus of Leader-Following Multiagent Systems: A Distributed Event-Triggered Impulsive Control Strategy. IEEE Transactions on Cybernetics, 49, 792-801. [Google Scholar] [CrossRef
[19] Zhu, W., Wang, D., Liu, L., et al. (2017) Event-Based Impulsive Control of Continuous-Time Dynamic Systems and Its Application to Synchronization of Memristive Neural Networks. IEEE Transactions on Neural Networks, and Learning Systems, 29, 3599-3609. [Google Scholar] [CrossRef
[20] Li, X., Peng, D. and Cao, J. (2020) Lyapunov Stability for Impulsive Systems via Event-Triggered Impulsive Control. IEEE Transactions on Automatic Control, 65, 4908-4913. [Google Scholar] [CrossRef
[21] Liu, B., Hill, D.J. and Sun, Z. (2018) Stabilisation to Input-to-State Stability for Continuous-Time Dynamical Systems via Event-Triggered Impulsive Control with Three Levels of Events. IET Control Theory & Applications, 12, 1167-1179. [Google Scholar] [CrossRef
[22] Li, X., Zhang, T. and Wu, J. (2021) Input-to-State Stability of Impulsive Systems via Event-Triggered Impulsive Control. IEEE Transactions on Cybernetics, 52, 7187-7195. [Google Scholar] [CrossRef
[23] Dashkovskiy, S. and Mironchenko, A. (2013) Input-to-State Stability of Nonlinear Impulsive Systems. SIAM Journal on Control and Optimization, 51, 1962-1987. [Google Scholar] [CrossRef
[24] Dashkovskiy, S. and Kosmykov, M. (2013) Input-to-State Stability of Interconnected Hybrid Systems. Automatica, 49, 1068-1074. [Google Scholar] [CrossRef
[25] Liu, T.F., Jiang, Z.-P. and Hill, D.J. (2012) Lyapunov Formulation of the ISS Cyclic-Small-Gain Theorem for Hybrid Dynamical Networks. Nonlinear Analysis: Hybrid Systems, 6, 988-1001. [Google Scholar] [CrossRef
[26] Dashkovskiy, S., et al. (2012) Stability of Interconnected Impulsive Systems with and without Time Delays, Using Lyapunov Methods. Nonlinear Analysis: Hybrid Systems, 6, 899-915. [Google Scholar] [CrossRef
[27] Hespanha, J.P., Liberzon, D. and Teel, A.R. (2008) Lyapunov Conditions for Input-to-State Stability of Impulsive Systems. Automatica, 44, 2735-2744. [Google Scholar] [CrossRef