Analytical structures and stability analysis of the simplest Takagi-Sugeno fuzzy two-term controllers

2019 ◽  
Vol 5 (1) ◽  
pp. 67 ◽  
Author(s):  
Ritu Raj ◽  
B.M. Mohan
Keyword(s):  
Stability Analysis ◽  
Takagi Sugeno

Takagi-Sugeno Multimodeling-Based Large Signal Stability Analysis of DC Microgrid Clusters

2021 ◽  
pp. 1-1
Author(s):  
Sucheng Liu ◽  
Xiang Li ◽  
Mengyu Xia ◽  
Qiangdong Qin ◽  
Xiaodong Liu
Keyword(s):  
Stability Analysis ◽  
Large Signal ◽  
Dc Microgrid ◽  
Signal Stability ◽  
Takagi Sugeno

Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models

2011 ◽  
Author(s):  
Zsófia Lendek ◽  
Thierry Marie Guerra ◽  
Robert Babuška ◽  
Bart De Schutter
Keyword(s):  
Stability Analysis ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Fuzzy Models ◽  
Takagi Sugeno

STABILITY ANALYSIS OF NONLINEAR INTERCONNECTED SYSTEMS VIA T–S FUZZY MODELS

2004 ◽  
Vol 04 (01) ◽  
pp. 41-55 ◽  
Author(s):  
WEI-LING CHIANG ◽  
CHENG-WU CHEN ◽  
FENG-HSIAG HSIAO
Keyword(s):  
Stability Analysis ◽  
Lyapunov Functions ◽  
Direct Method ◽  
Interconnected Systems ◽  
Linear Matrix ◽  
Matrix Inequality ◽  
Fuzzy Models ◽  
Fuzzy Techniques ◽  
The Stability ◽  
Takagi Sugeno

This paper is concerned with the stability problem of nonlinear interconnected systems. Each of them consists of a few interconnected subsystems which are approximated by Takagi–Sugeno (T–S) type fuzzy models. In terms of Lyapunov's direct method, a stability criterion is derived to guarantee the asymptotic stability of interconnected systems. It is shown that the stability analysis problems of nonlinear interconnected systems can be reduced to linear matrix inequality (LMI) problems via suitable Lyapunov functions and T–S fuzzy techniques. Finally, numerical examples with simulations are given to demonstrate the validity of the proposed approach.

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