Hybrid dwell-time-based H∞ control of switched nonlinear systems and its application to switched neural networks

被引：0
作者：
Wang, Jinling [1 ,2 ,3 ]
Lu, Jun-Guo [2 ,3 ]
Li, Jiarong [2 ,3 ]
Jiang, Haijun [4 ]
Hu, Cheng [5 ]
机构：
[1] Northwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[3] Minist Educ China, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[4] Yili Normal Univ, Sch Math & Stat, Yining 835000, Peoples R China
[5] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
来源：
NEUROCOMPUTING | 2025年 / 640卷
基金：
中国国家自然科学基金;
关键词：
Switched nonlinear system; Time scheduler; Multiple discontinuous Lyapunov function; H infinity control; LYAPUNOV FUNCTIONS; VARYING DELAYS; STABILIZATION; STABILITY;
D O I：
10.1016/j.neucom.2025.130331
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The hybrid dwell-time-based H infinity control problem of switched nonlinear systems without internal stability requirements is investigated in this paper. Under the hybrid mode-dependent dwell time (HMDT), a set of mode-dependent time-scheduled controllers (TSCs) are proposed here. Meanwhile, switched neural networks (SNNs) as typical switched nonlinear systems are further introduced to refine the theoretical derivation, and time-varying switching-signal-based multiple discontinuous Lyapunov functions (TSMDLFs) are constructed to ensure the exponential stability with the l2-gain condition of the SNNs. Finally, examples of practical applications are presented to demonstrate the validity of our theoretical results.
引用
收藏
页数：10
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