A Galerkin/neural-network-based design of guaranteed cost control for nonlinear distributed parameter systems

IEEE Transactions on Neural Networks

Volumn 19, Issue 5, 2008, Pages 795-807

  Wu, Huai Ning ^a   Li, Han Xiong ^b  

^a BEIHANG UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Distributed parameter systems; Galerkin method; Guaranteed cost control (GCC); Linear matrix inequality (LMI); Neural network; Stability

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; GALERKIN METHODS; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; MATHEMATICAL OPERATORS; NEURAL NETWORKS; ORDINARY DIFFERENTIAL EQUATIONS;

DISTRIBUTED PARAMETER SYSTEMS; EIGENSPECTRUM; GUARANTEED COST CONTROL; SPATIAL DIFFERENTIAL OPERATOR;

PARTIAL DIFFERENTIAL EQUATIONS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CATALYSIS; NONLINEAR SYSTEM; TEMPERATURE;

ALGORITHMS; CATALYSIS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; TEMPERATURE;

EID: 44349193545     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2007.912592     Document Type: Article

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