Adaptive Consensus of Non-Strict Feedback Switched Multi-Agent Systems With Input Saturations

作     者：Zhanjie Li Jun Zhao Zhanjie Li;Jun Zhao

作者机构：Institute of Advanced TechnologyNanjing University of Posts and TelecommunicationsNanjing 210023 College of Information Science and EngineeringNortheastern UniversityShenyang 110819China IEEE 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2021年第8卷第11期

页      面：1752-1761页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by the National Key Research and Development Program(2018YFA0702202) in part by the Leadingedge Technology Program of Jiangsu National Science Foundation(BK20202011) in part by the Research Grants of the Nanjing University of Posts and Telecommunications(NY220158,NY220177) 

主　　题：Adaptive consensus input saturation non-strict feedback switched multi-agent systems(MASs) 

摘      要：This paper considers the leader-following consensus for a class of nonlinear switched multi-agent systems(MASs)with non-strict feedback forms and input saturations under unknown switching ***,in virtue of Gaussian error functions,the saturation nonlinearities are represented by asymmetric saturation ***,neural networks are utilized to approximate some unknown packaged functions,and the structural property of Gaussian basis functions is introduced to handle the non-strict feedback ***,by using the backstepping process,a common Lyapunov function is constructed for all the subsystems of the *** last,we propose an adaptive consensus protocol,under which the tracking error under arbitrary switching converges to a small neighborhood of the *** effectiveness of the proposed protocol is illustrated by a simulation example.