A model-based PID controller for Hammerstein systems using B-spline neural networks

International Journal of Adaptive Control and Signal Processing

Volumn 28, Issue 3-5, 2014, Pages 412-428

  Hong, X ^a   Iplikci, S ^b   Chen, S ^c,d   Warwick, K ^a  

^a UNIVERSITY OF READING   (United Kingdom)

^b PAMUKKALE UNIVERSITY   (Turkey)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^d KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Adaptive control; B spline neural network; De Boor algorithm; Hammerstein model; Multistep ahead prediction; PID controller; System identification

Indexed keywords

ALGORITHMS; ELECTRIC CONTROL EQUIPMENT; IDENTIFICATION (CONTROL SYSTEMS); INTERPOLATION; JACOBIAN MATRICES; NEURAL NETWORKS; NONLINEAR SYSTEMS;

ADAPTIVE CONTROL; B-SPLINE NEURAL NETWORK; DE BOOR ALGORITHM; HAMMERSTEIN MODEL; MULTI-STEP; PID CONTROLLERS;

PROPORTIONAL CONTROL SYSTEMS;

EID: 84899124878     PISSN: 08906327     EISSN: 10991115     Source Type: Journal    
DOI: 10.1002/acs.2293     Document Type: Article

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