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Received:January 17, 2011Revised:June 28, 2011 |
基金项目:This work was supported by the National Natural Science Foundation of China (Nos. 61174073, 90816028), and the Youth Foundation of Hebei University (No. 2008Q40). |
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State tracking model reference adaptive control for switched nonlinear systems with linear uncertain parameters |
Xia WANG,Jun ZHAO,Yujun TANG |
(State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University; College of Electronic and Informational Engineering, Hebei University) |
Abstract: |
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. |
Key words: Switched nonlinear system Model reference adaptive control State tracking |