The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization

Neurocomputing

Volumn 82, Issue , 2012, Pages 216-223

  Hong, Xia ^a   Chen, Sheng ^b,c  

^a UNIVERSITY OF READING   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

B spline; De Boor algorithm; Hammerstein model; NURB neural networks; Particle swarm optimization; Pole assignment controller; System identification

Indexed keywords

B-SPLINE; DE BOOR ALGORITHM; HAMMERSTEIN MODEL; PARTICLE SWARM; POLE ASSIGNMENT CONTROLLER; SYSTEM IDENTIFICATIONS;

ALGORITHMS; CONTROL THEORY; CONTROLLERS; IDENTIFICATION (CONTROL SYSTEMS); INTERPOLATION; NEURAL NETWORKS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; POLES; RATIONAL FUNCTIONS; SINGULAR VALUE DECOMPOSITION;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ANALYTIC METHOD; ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; DATA ANALYSIS; HAMMERSTEIN SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; NONLINEAR SYSTEM; PARTICLE SWARM OPTIMIZATION; PRIORITY JOURNAL; SINGULAR VALUE DECOMPOSITION; STATISTICAL MODEL;

EID: 84856415415     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.11.016     Document Type: Article

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