DocumentCode :
2428349
Title :
Output feedback control for nonlinear system based on Local Linear Model Trees (LOLIMOT)
Author :
Zhang, Yan ; Zu, Linan ; Yang, Peng ; Xing, Guolin
Author_Institution :
Dept. of Autom., Hebei Univ. of Technol., Tianjin, China
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
242
Lastpage :
245
Abstract :
A nonlinear adaptive output feedback control approach based on LOLIMOT is proposed for a class of nonaffine system in the non-strict feedback form with unknown nonlinearities in this paper. In order to overcome the disadvantages of output feedback control, LOLIMOT which can identify the nonlinear system accurately is applied. During the control process, backstepping approach is utilized to design the adaptive output feedback controller and the internal pseudo-controller is used as one-step predictor. The effectiveness of proposed scheme is shown by simulation on a proper nonlinear system.
Keywords :
adaptive control; feedback; nonlinear control systems; trees (mathematics); backstepping approach; internal pseudocontroller; local linear model trees; nonaffine system; nonlinear adaptive output feedback control approach; nonstrict feedback form; one-step predictor; Adaptation model; Adaptive systems; Approximation methods; Artificial neural networks; Nonlinear systems; Output feedback; local linear model trees; nonaffine system; output feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
Type :
conf
DOI :
10.1109/ICARCV.2010.5707353
Filename :
5707353
Link To Document :
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