State tracking model reference adaptive control for switched nonlinear systems with linear uncertain parameters  

作　　者：Xia WANG Jun ZHAO Yujun TANG 

机构地区：[1]State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang Liaoning 110004, China [2]College of Electronic and Informational Engineering, Hebei University, Baoding Hebei 071002, China

出　　处：《控制理论与应用（英文版）》2012年第3期354-358,共5页

基　　金：supported by the National Natural Science Foundation of China(Nos.61174073,90816028);the Youth Foundation of Hebei University(No.2008Q40)

摘　　要：Model reference adaptive control （MRAC） is considered for a class of switched nonlinear systems in which the unknown parameters appear linearly. The linear uncertain parameters in each subsystem can be expressed as a vector and the uncertain vectors in different subsystems are estimated individually by different vector variables. Update laws are designed such that the parameter estimation will ＇freeze＇ until its corresponding subsystem is active. Controllers for subsystems are given to ensure asymptotic states tracking under arbitrary switchings. Two examples are presented to validate the proposed method.Model reference adaptive control （MRAC） is considered for a class of switched nonlinear systems in which the unknown parameters appear linearly. The linear uncertain parameters in each subsystem can be expressed as a vector and the uncertain vectors in different subsystems are estimated individually by different vector variables. Update laws are designed such that the parameter estimation will ＇freeze＇ until its corresponding subsystem is active. Controllers for subsystems are given to ensure asymptotic states tracking under arbitrary switchings. Two examples are presented to validate the proposed method.

关 键 词：Switched nonlinear system Model reference adaptive control State tracking 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置] TP273[自动化与计算机技术—控制科学与工程]