Title :
Adaptive output feedback for uncertain nonlinear systems in output feedback form using fuzzy logic systems
Author :
Yunfeng, Zheng ; Renxiang, Bu ; Biguang, Hong
Author_Institution :
Navig. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
In this paper, we consider the tracking control problem of a class of SISO nonlinear systems transformable into uncertain nonlinear systems in output-feedback form using output feedback control. The unknown output functions are approximated by fuzzy logic systems. The unmeasured states are estimated by K-filters. Based on these filters, observer backstepping method is used to design the controller. Nonlinear damping terms are used to counteract the destabilizing effect of the parameter estimation errors and observation estimation errors. The overall closed-loop system can be guaranteed all the signals involved semi-globally uniformly bounded and the tracking errors are proved to converge to a small residual set around the origin.
Keywords :
Kalman filters; adaptive control; closed loop systems; feedback; fuzzy set theory; nonlinear systems; observers; uncertain systems; K-filters; SISO nonlinear systems; adaptive output feedback; closed-loop system; fuzzy logic systems; nonlinear damping terms; observer backstepping method; tracking control problem; uncertain nonlinear systems; Control design; Measurement uncertainty; Venus; K-filter; backstepping; fuzzy logic systems; output feedback; uncertain nonlinear systems;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610082