Nonlinear adaptive control using multiple identification models

Author

Xudong, Ye

Author_Institution

Sch. of Electr. Eng., Zhejiang Univ., Hangzhou

fYear

2008

fDate

16-18 July 2008

Firstpage

488

Lastpage

491

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CHICC.2008.4605554

Filename

4605554