Impulsive synchronization control of fuzzy chaotic systems based on output feedback

Author

Dongsheng Yang ; Aiping Li ; Yanju Liu ; Yi Yang

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

Volume

1

fYear

2011

fDate

20-22 Aug. 2011

Firstpage

147

Lastpage

151

Abstract

A new method of impulsive synchronization control for fuzzy chaotic systems is proposed in the paper by using output feedback. In real systems, all states in the drive system are not available. Comparing with the way of state feedback, the method in the paper is more useful and more realistic. Via Schur complement theorem, linear matrix inequality (LM I) toolbox, stability analysis of Lyapunov functions and variable transformation, the paper estimates the systems states and proves exponentially stable and robust stable conditions, realizes the synchronization control of error systems, and then designs the output feedback control matrix using MATLAB toolbox. Simulation results demonstrated the effectiveness of the proposed method.

Keywords

asymptotic stability; fuzzy control; linear matrix inequalities; nonlinear control systems; state feedback; synchronisation; LMI toolbox; Lyapunov function; MATLAB toolbox; Schur complement theorem; error system; exponential stability; fuzzy chaotic system; impulsive synchronization control; linear matrix inequality; output feedback; stability analysis; state feedback; Chaotic communication; Object recognition; Output feedback; Robustness; Synchronization; Lyapunov functions; Schur complement theorem; exponentially stable; impulsive synchronization; output feedback; robust stable;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International

Conference_Location

Chongqing

Print_ISBN

978-1-4244-8622-9

Type

conf

DOI

10.1109/ITAIC.2011.6030172

Filename

6030172