DocumentCode :
630523
Title :
Cascade disturbance rejection control of the uncertain nonlinear systems with nonlinear parameterization
Author :
Wei Wei ; Donghai Li ; Jing Wang
Author_Institution :
Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
265
Lastpage :
271
Abstract :
In this paper, uncertain nonlinear systems with nonlinear parameterization are considered. The parametric strict feedback structure is utilized to make the cascade adaptive control scheme feasible. Since the disturbance rejection based adaptive controller is adopted, no prior knowledge of the unknown parameters is necessarily required. Sufficient condition for asymptotic stability of the closed-loop system is derived. Monte-Carlo method is employed to evaluate the performance robustness of the closed-loop system. Simulation results demonstrate the effectiveness and robustness of the proposed cascade adaptive control scheme.
Keywords :
Monte Carlo methods; adaptive control; asymptotic stability; cascade control; closed loop systems; feedback; nonlinear control systems; performance index; robust control; uncertain systems; Monte-Carlo method; asymptotic stability; cascade adaptive control; cascade disturbance rejection control; closed-loop system; nonlinear parameterization; parametric strict feedback structure; performance robustness evaluation; sufficient condition; uncertain nonlinear system; unknown parameters; Adaptive control; Backstepping; Closed loop systems; Educational institutions; Nonlinear systems; Robustness; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6579848
Filename :
6579848
Link To Document :
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