Full state constraints control of switched complex networks based on time-varying barrier Lyapunov functions

被引:11
作者
Enchang, Cui [1 ]
Yuanwei, Jing [1 ]
Xiaoting, Gao [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, 3-11 Wenhua Rd, Shenyang, Peoples R China
关键词
feedback; uncertain systems; Lyapunov methods; control system synthesis; complex networks; control nonlinearities; time-varying systems; asymptotic stability; synchronisation; adaptive control; nonlinear control systems; switched complex network; complex dynamic network; switched topology; switched parameters; adaptive backstepping method; full state constraints control; time-varying barrier Lyapunov functions; adaptive backstepping synchronous control method; DYNAMIC SURFACE CONTROL; MODEL-PREDICTIVE CONTROL; ADAPTIVE NEURAL-CONTROL; NONLINEAR-SYSTEMS; PRESCRIBED PERFORMANCE; TRACKING CONTROL; LINEAR-SYSTEMS; DELAY SYSTEMS; SYNCHRONIZATION;
D O I
10.1049/iet-cta.2020.0165
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This manuscript proposes an adaptive backstepping synchronous control method with full state constraints by drawing into the time-varying barrier Lyapunov functions (T-BLFs) for a kind of uncertain switched complex networks. Generally, a complex dynamic network in practical terms either possesses a switched topology or its nodes are with switched parameters. In this context, the synchronisation problem of the switched complex network is tackled by utilising adaptive backstepping method after converting switched complex network into the non-autonomous strict feedback form. Meanwhile, most of the system states are supposed to be constrained during the switch over the procedure. Thus, the constraint-handling method based on T-BLFs is developed in the backstepping process to guarantee the full state restriction boundaries are not violated, and then to realise the asymptotic stability of the nodes states of the switched complex networks. Four simulation examples are presented to verify the feasibility and effectiveness of the proposed control approach.
引用
收藏
页码:2419 / 2428
页数:10
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