Delay-dependent robust asymptotic state estimation of Takagi-Sugeno fuzzy Hopfield neural networks with mixed interval time-varying delays

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 472-481

  Balasubramaniam, P ^a   Vembarasan, V ^a   Rakkiyappan, R ^b  

^a GANDHIGRAM RURAL UNIVERSITY   (India)

^b BHARATHIAR UNIVERSITY   (India)

Author keywords

Hopfield neural networks; Linear matrix inequality; Lyapunov Krasovskii functional; State estimation; T S fuzzy model

Indexed keywords

ASYMPTOTIC STATE; DELAY-DEPENDENT; ESTIMATION ERRORS; FUZZY HOPFIELD NEURAL NETWORK; GAIN MATRICES; GLOBALLY ASYMPTOTICALLY STABLE; INTERVAL TIME-VARYING DELAYS; LYAPUNOV-KRASOVSKII FUNCTIONALS; NUMERICAL EXAMPLE; ROBUST STATE ESTIMATION; T-S FUZZY; T-S FUZZY MODELS; TAKAGI SUGENO FUZZY MODELS; TAKAGI-SUGENO;

ESTIMATION; HOPFIELD NEURAL NETWORKS; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; NUMERICAL METHODS; STATE ESTIMATION; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

FUZZY NEURAL NETWORKS;

EID: 81855205008     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.07.038     Document Type: Article

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