Control law proposition for the stabilization of discrete Takagi-Sugeno models

IEEE Transactions on Fuzzy Systems

Volumn 17, Issue 3, 2009, Pages 724-731

  Guerra, Thierry Maria ^a   Kruszewski, Alexandre ^b   Bernal, Miguel ^c  

^a UNIVERSITÉ DE VALENCIENNES   (France)

^b ECOLE CENTRALE DE LILLE   (France)

^c National Research System   (Mexico)

Author keywords

Artificial neural networks; Asymptotic stability; Electronic mail; Gain; Indexes; Linear matrix inequalities; Linear Matrix Inequalities (LMI); Linear matrix inequalities (LMI); Lyanupov functional; Lyapunov functional; Lyapunov method; Manganese; Materials; Optimization; Robustness; Stability analysis; Stability criteria; stabilization; Stabilization; State feedback; Symmetric matrices; Takagi Sugeno discrete models; Takagi Sugeno Discrete models; Uncertainty

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; GAIN; INDEXES; LINEAR MATRIX INEQUALITIES (LMI); LYANUPOV FUNCTIONAL; LYAPUNOV FUNCTIONAL; ROBUSTNESS; STABILITY ANALYSIS; SYMMETRIC MATRICES; TAKAGI-SUGENO DISCRETE MODELS; UNCERTAINTY;

ASYMPTOTIC ANALYSIS; ASYMPTOTIC STABILITY; BACKPROPAGATION; DIFFERENTIAL EQUATIONS; ELECTRONIC MAIL; FEEDBACK; LINEAR CONTROL SYSTEMS; LYAPUNOV FUNCTIONS; LYAPUNOV METHODS; MANGANESE; MODAL ANALYSIS; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); STABILITY CRITERIA; STABILIZATION; STATE FEEDBACK; SWITCHING SYSTEMS; UNCERTAIN SYSTEMS; UNCERTAINTY ANALYSIS;

LINEAR MATRIX INEQUALITIES;

EID: 67149089241     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2008.928602     Document Type: Article

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