Title :
Adaptive fuzzy generalized predictive control for a class of unknown parameters multivariable linear system
Author :
Shi, Wuxi ; Ma, Yingxin ; Chen, Yuchan ; Guo, Ziguang
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
Abstract :
An adaptive fuzzy generalized predictive control scheme for a class of multivariable linear systems with unknown parameters is presented. With this scheme, the vector composed of fuzzy logic systems is used to design predictive controller directly, and the unknown vector in controller and the estimated value of approximation error are adjusted by time-varying adaptation laws. It is proved that the proposed method can make the tracking error converge to a neighborhood of the origin.
Keywords :
adaptive control; control system synthesis; fuzzy control; linear systems; multivariable control systems; predictive control; time-varying systems; adaptive fuzzy generalized predictive control; approximation error; controller design; fuzzy logic systems; time-varying adaptation laws; tracking error; unknown parameters multivariable linear system; unknown vector; Adaptive systems; Approximation error; Equations; Linear systems; Mathematical model; Predictive control; Vectors; adaptive fuzzy control; generalized predictive control; multivariable linear system; stability analysis;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244427
