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

fYear

2012

fDate

23-25 May 2012

Firstpage

2691

Lastpage

2695

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244427

Filename

6244427