DocumentCode
1666346
Title
Stability analysis for T-S fuzzy control systems with linear interpolations into membership functions
Author
Peng Wang ; Ning Li ; Shaoyuan Li
Author_Institution
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2012
Firstpage
1749
Lastpage
1754
Abstract
This paper focuses on the stability analysis of T-S fuzzy control systems. The artificial T-S model method is utilized with piecewise linear interpolations into the normalized fuzzy membership functions. The stability conditions are derived to a series of LMIs. Using piecewise linear interpolation functions, we obtain finite LMIs and only solve them at the interpolation points. Furthermore, because of the dramatically improved approximation accuracy of piecewise linear interpolations, the method presented in this paper can provide a wider stable region for T-S fuzzy control systems, compared with the approach with staircase (zero-order) interpolations. A simulation example is adopted to illustrate the advantage of the proposed method.
Keywords
fuzzy control; interpolation; linear matrix inequalities; piecewise linear techniques; stability; T-S fuzzy control system; approximation accuracy; artificial T-S model method; finite LMI; interpolation point; normalized fuzzy membership function; piecewise linear interpolation function; stability analysis; stability condition; stable region; staircase interpolation; zero-order interpolation; Analytical models; Asymptotic stability; Fuzzy control; Interpolation; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-1871-6
Electronic_ISBN
978-1-4673-1870-9
Type
conf
DOI
10.1109/ICARCV.2012.6485414
Filename
6485414
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