Finite-time piecewise control for discrete-time stochastic nonlinear time-varying systems with time-varying delays

被引:4
作者
Liu, Jie [1 ,2 ]
Chen, Guici [1 ,2 ]
Wen, Shiping [3 ]
Zhu, Song [4 ]
机构
[1] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Syst Sci Met Proc, Wuhan 430065, Peoples R China
[2] Wuhan Univ Sci & Technol, Coll Sci, Wuhan 430065, Peoples R China
[3] Univ Technol Sydney, Ctr Artificial Intelligence, Sydney, Australia
[4] China Univ Min & Technol, Sch Math, Xuzhou 221116, Peoples R China
关键词
Finite-time stochastic stability (FTSS); Piecewise control; Discrete-time nonlinear stochastic time-varying systems (DNSTs); Optimal control algorithm; ADAPTIVE-CONTROL; NEURAL-NETWORKS; STABILITY; STABILIZATION;
D O I
10.1016/j.chaos.2024.114982
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This study delves into the analysis and control of finite -time stochastic stability (FTSS) within discrete stochastic nonlinear time -varying systems (DSNTSs) with time -varying delays. Leveraging set -valued mappings and incorporating principles from differential inclusion theory, the DSNTSs are transformed into a set of differential inclusion subsystems, introducing a novel approach to system control. Sufficient conditions for FTSS are established through the introduction of discrete -time Lyapunov-Krasovskii functions and the application of linear matrix inequalities (LMIs). To ensure the FTSS of the systems, we introduce a set of piecewise state feedback controllers. In addition, we propose an optimized control algorithm founded on piecewise control, designed to enhance the overall cost-effectiveness. The efficacy of these methodological innovations is fully validated by a series of comprehensive numerical simulations.
引用
收藏
页数:9
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