DocumentCode :
183543
Title :
Nonlinear variable structure adaptive control
Author :
Sugiki, Akihiko ; Furuta, K. ; Ohata, Akira ; Nita, Hiroaki
Author_Institution :
Nikki Denso Co., Ltd., Sakura, Japan
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
1298
Lastpage :
1303
Abstract :
This paper proposes to control a class of nonlinear systems described by the discrete-time nonlinear ARX models with unknown parameters depending on the input and output. A set of adaptive controllers are designed based on the variable structure control for the discrete-time ARX models locally identified around given levels of input and output. The proper adaptive controller is chosen among the set of the adaptive controllers designed for local discrete-time ARX models identified for the different regions of input and output. The example of the nonlinear system identification and the adaptive control presented in the paper show the effectiveness of the proposed approach.
Keywords :
adaptive control; autoregressive processes; control system synthesis; discrete time systems; nonlinear control systems; variable structure systems; adaptive controller design; discrete-time nonlinear ARX models; nonlinear system control; nonlinear system identification; nonlinear variable structure adaptive control; unknown parameters; Adaptation models; Adaptive control; Control systems; Linear systems; Mathematical model; Nonlinear systems; Vectors; Direct adaptive control; Nonlinear systems; Variable-structure/sliding-mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858623
Filename :
6858623
Link To Document :
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