Takagi-Sugeno fuzzy hopfield neural networks for H ∞ nonlinear system identification

Neural Processing Letters

Volumn 34, Issue 1, 2011, Pages 59-70

  Ahn, Choon Ki ^a  

^a Seoul National University of Science and Technology   (South Korea)

Author keywords

H nonlinear system identification; Linear matrix inequality (LMI); Lyapunov stabilitytheory; Takagi Sugeno fuzzy Hopfield neural networks; Weight learning algorithm

Indexed keywords

CONVEX OPTIMIZATION PROBLEMS; FUZZY HOPFIELD NEURAL NETWORK; IDENTIFICATION SCHEME; ILLUSTRATIVE EXAMPLES; LINEAR MATRIX INEQUALITY (LMI); LYAPUNOV; LYAPUNOV STABILITY THEORY; TAKAGI-SUGENO; WEIGHT LEARNING ALGORITHM;

CONVEX OPTIMIZATION; FUZZY NEURAL NETWORKS; LEARNING ALGORITHMS; LINEAR MATRIX INEQUALITIES; NONLINEAR SYSTEMS;

HOPFIELD NEURAL NETWORKS;

EID: 80052682188     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-011-9183-z     Document Type: Article

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