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
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