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

页数：10

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