Adaptive Identification for Switched Nonlinear Systems with Linear Parameterization
نویسندگان
چکیده
This paper presents the adaptive control parameter identification of switched nonlinear system that uses model reference adaptive control (MRAC) method to track the variation of the state error to approach the ideal values. MRAC is treated as a class of switched nonlinear systems in which the unknown parameters appear linearly. At the same time, switched systems ensure the whole system stay stability and avoid vibration. The update laws are designed to change the controllers with the arbitrary switching signal so that the systems are closed to the model reference system. The parameters approach the real system parameters when the systems are stable, which achieves the control purpose. Simulation results show that the proposed method is validated. Copyright © 2014 IFSA Publishing, S. L.
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