Robust multi-criteria optimal fuzzy control of continuous-time nonlinear systems

Author

Xin Wang ; Yaz, E.E.

Author_Institution

Electr. & Comput. Eng. Dept., Marquette Univ., Milwaukee, WI, USA

fYear

2010

fDate

June 30 2010-July 2 2010

Firstpage

6460

Lastpage

6465

Abstract

This paper presents a novel fuzzy control design of continuous-time nonlinear systems with multiple performance criteria. The purpose behind this work is to improve the traditional fuzzy controller performance to satisfy several performance criteria simultaneously to secure quadratic optimality with inherent stability property together with dissipativity type of disturbance reduction. The Takagi-Sugeno type fuzzy model is used in our control system design. By solving an LMI at each time, the control solution can be found to satisfy mixed performance criteria. The effectiveness of the proposed technique is demonstrated by simulation of the control of the inverted pendulum on a cart.

Keywords

continuous time systems; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; optimal control; robust control; LMI; Takagi-Sugeno type fuzzy model; continuous-time nonlinear system; control system design; linear matrix inequality; robust multicriteria optimal fuzzy control; Control system synthesis; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Optimal control; Robust control; Stability criteria; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2010

Conference_Location

Baltimore, MD

ISSN

0743-1619

Print_ISBN

978-1-4244-7426-4

Type

conf

DOI

10.1109/ACC.2010.5531456

Filename

5531456