Neural-Network-Based Event-Triggered Sliding Mode Control for Networked Switched Linear Systems With the Unknown Nonlinear Disturbance

被引:25
作者
Wang, Yuzhong [1 ,2 ]
Zhao, Jun [1 ,3 ]
机构
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial neural networks; Switches; Switched systems; Lyapunov methods; Bandwidth; Sliding mode control; Symmetric matrices; Adaptive sliding mode control (SMC); event-triggering; integral-type sliding surfaces; neural network (NN); switched systems; STABILITY; STABILIZATION;
D O I
10.1109/TNNLS.2021.3119665
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The event-triggered sliding mode control (SMC) problem for uncertain networked switched systems with the external unknown nonlinear disturbance is investigated. A neural network (NN) receiving the triggered state is utilized to approximate the external unknown nonlinear disturbance. First, a novel adaptive mode-dependent continuous-time event-triggering scheme (ETS) based on NN weights' estimations is proposed to reduce the burden of the network bandwidth. Then, using the time-varying Lyapunov function method, a novel adaptive NN event-triggered sliding mode controller is established and a dwell-time switching law is obtained, which can guarantee ultimate boundedness, and attain the sliding region around the specified sliding surface for switched systems. Further, a new integral sliding surface that depends on the system states at switching instants and includes the exponential term is proposed. Obtaining the boundary of the sliding mode region relies on the exponential term for continuous-time systems. Moreover, the Zeno behavior can be avoided under the proposed continuous-time ETS by dividing event-triggering signals and switching signals. Finally, a comparative example and a switched Chua's Circuit example are given to illustrate the effectiveness of the proposed method.
引用
收藏
页码:3885 / 3896
页数:12
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