Title :
Robust adaptive control of quasi-LPV systems
Author :
Wei, Xiukun ; del Re, Luigi ; Tan, Jindong
Author_Institution :
Fac. of the Inst. of Design & Control of Machatronical Syst., Johannes Kepler Univ., Linz
Abstract :
In this paper a robust adaptive pole placement method for a class of linear parameter varying (LPV) system based on input-output description is constructed after the LPV system model, including its un-modeled error model term, is presented. The recursive least square estimation algorithm with dead zone is applied for the parameter estimation. The robust stability of closed-loop system is analyzed and the robust bound is derived. One simulation example illustrates the effectiveness of the control algorithm and demonstrates that the adaptive control based on LPV model can achieve better performance than the controller based on linear time varying (LTV) model
Keywords :
adaptive control; closed loop systems; least squares approximations; linear systems; nonlinear control systems; pole assignment; recursive estimation; robust control; closed-loop system; dead zone; input-output description; linear parameter varying system; parameter estimation; pole placement method; quasi-LPV systems; recursive least square estimation algorithm; robust adaptive control; robust stability; unmodeled error model term; Adaptive control; Control systems; Least squares approximation; Nonlinear systems; Parameter estimation; Programmable control; Robust control; Robust stability; Robustness; State feedback;
Conference_Titel :
Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-9047-4
DOI :
10.1109/AIM.2005.1511243