Impulsive control for T-S fuzzy model based chaotic systems with adaptive feedback

Author

Zhong, Qishui ; Yu, Yongbin ; Xu, Shungang

Author_Institution

Inst. of Astronaut. & Aeronaut., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China

fYear

2009

fDate

23-25 July 2009

Firstpage

872

Lastpage

875

Abstract

A novel impulsive control scheme for Takagi-Sugeno (T-S) fuzzy model based chaotic systems with adaptive feedback is proposed. Firstly, we utilize a T-S fuzzy model to represent a chaotic system with adaptive feedback. Secondly, using comparison methods, a sufficient criterion for the T-S fuzzy model is derived in terms of linear matrix inequalities (LMIs) and the procedure of controller design is given. Finally, as an illustrative example, its application to stabilize the famous Lorenz system shows the effectiveness of the proposed scheme.

Keywords

adaptive control; control system synthesis; fuzzy control; fuzzy set theory; linear matrix inequalities; nonlinear control systems; Lorenz system; T-S fuzzy model; Takagi-Sugeno fuzzy model; adaptive feedback; chaotic systems; controller design; impulsive control; linear matrix inequalities; Adaptive control; Adaptive systems; Chaos; Control systems; Feedback; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on

Conference_Location

Milpitas, CA

Print_ISBN

978-1-4244-4886-9

Electronic_ISBN

978-1-4244-4888-3

Type

conf

DOI

10.1109/ICCCAS.2009.5250389

Filename

5250389