Title :
Nonlinear adaptive control using multiple identification models
Author_Institution :
Sch. of Electr. Eng., Zhejiang Univ., Hangzhou
Abstract :
An indirect multiple model adaptive controller is proposed for nonlinear systems in parametric-strict-feedback form. By designing a suitable switching scheme, some model close to the real plant can be selected quickly, so that transient performance can be improved significantly, especially when there exist large parametric uncertainties. Global stability of the closed-loop switching system has been proved. A simulation example is also given to demonstrate the effectiveness of the proposed multiple model adaptive controller.
Keywords :
adaptive control; closed loop systems; control system synthesis; feedback; identification; nonlinear control systems; stability; time-varying systems; closed-loop switching system; global stability; indirect multiple model adaptive controller; multiple identification models; nonlinear adaptive control; parametric-strict-feedback form; Adaptive control; Electronic mail; Estimation error; Nonlinear control systems; Nonlinear systems; Parameter estimation; Programmable control; Stability; Switching systems; Uncertainty; Adaptive control; Multiple models; Nonlinear systems; Stability; Transient performance;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605554
