DocumentCode :
1655717
Title :
Adaptive Output-Feedback Control for Parametric Output-Feedback Nonlinear Systems with Additive Output Derivative
Author :
Yunfeng, Zheng ; Jiali, Du ; Hongbo, Sun
Author_Institution :
Dalian Maritime Univ., Dalian
fYear :
2007
Firstpage :
478
Lastpage :
481
Abstract :
A global adaptive output-feedback control scheme is proposed for a class of nonlinear system in output-feedback form with additive output derivative. Unknown parameters are allowed to multiply not only the output nonlinearities but also affine functions of the derivative of the measured output with coefficients that are smooth nonlinear functions of the measured output. Through coordinate transformation and parameter redefinition, the system considered is transformed into the parametric output-feedback canonical form with unknown high-frequency gain sign. To tackle this situation, Nussbaum gain is incorporated in the adaptive backstepping technique. Tuning function method is employed to design the parameter adaptive law to avoid overparametrization. All the signals involved in the closed-loop system can be guaranteed globally uniformly bounded and the asymptotic tracking is achieved. The results of this paper extend the class of uncertain nonlinear systems for which global adaptive output-feedback control can be designed.
Keywords :
adaptive control; feedback; nonlinear control systems; uncertain systems; adaptive backstepping technique; adaptive output-feedback control; additive output derivative; coordinate transformation; output nonlinearities; parametric output-feedback nonlinear systems; uncertain nonlinear systems; Adaptive control; Backstepping; Control systems; Educational institutions; Navigation; Nonlinear control systems; Nonlinear systems; Output feedback; Programmable control; Sun; Nonlinear systems; Nussbaum gain; Output feedback control; Tuning function; Virtual control gain sign;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4347526
Filename :
4347526
Link To Document :
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