Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems

作     者：Yongliang Yang Zhijie Liu Qing Li Donald C.Wunsch Yongliang Yang;Zhijie Liu;Qing Li;Donald C.Wunsch

作者机构：the Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of EducationSchool of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China the Department of Electrical and Computer EngineeringMissouri University of Science and TechnologyRollaMO 65409 USA 

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2期

页      面：441-454页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：supported in part by the National Natural Science Foundation of China(61903028,62073030) in part by the China Post-Doctoral Science Foundation(2019M660463) in part by the Fundamental Research Funds for the China Central Universities of University of Science and Technology Beijing(FRF-TP-18-031A1,FRF-BD-19-002A) in part by the Postdoctor Research Foundation of Shunde Graduate School of University of Science and Technology Beijing(2020BH002) 

主　　题：Asymmetric barrier Lyapunov function input saturation Nussbaum function time-varying prescribed performance 

摘      要：This paper considers the adaptive neuro-fuzzy control scheme to solve the output tracking problem for a class of strict-feedback nonlinear *** asymmetric output constraints and input saturation are *** asymmetric barrier Lyapunov function with time-varying prescribed performance is presented to tackle the output-tracking error constraints.A high-gain observer is employed to relax the requirement of the Lipschitz continuity about the nonlinear *** avoid theexplosion of complexity,the dynamic surface control(DSC)technique is employed to filter the virtual control signal of each *** deal with the actuator saturation,an additional auxiliary dynamical system is *** is theoretically investigated that the parameter estimation and output tracking error are semi-global uniformly ultimately *** simulation examples are conducted to verify the presented adaptive fuzzy controller design.