Nonlinear system control using adaptive neural fuzzy networks based on a modified differential evolution

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 39, Issue 4, 2009, Pages 459-473

  Chen, Cheng Hung ^a   Lin, Cheng Lin ^b   Lin, Chin Teng ^a,c  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^c University System of Taiwan   (Taiwan)

Author keywords

Differential evolution (DE); Magnetic levitation system; Neural fuzzy networks; Planetary train type inverted pendulum

Indexed keywords

CONTROL PROBLEMS; CONTROLLER PARAMETER; DESIGN OPTIMIZATION; DIFFERENTIAL EVOLUTION (DE); EVOLUTIONARY LEARNING; FUNCTIONAL LINK NEURAL NETWORK; INPUT VARIABLES; INVERTED PENDULUM SYSTEM; LOOP CONTROL; MAGNETIC LEVITATION SYSTEM; MAGNETIC LEVITATION SYSTEMS; MODE CONTROLLER; MODIFIED DIFFERENTIAL EVOLUTION; NEURAL FUZZY NETWORKS; NONLINEAR COMBINATION; NONLINEAR SYSTEM CONTROL; PLANETARY-TRAIN-TYPE INVERTED PENDULUM; VISUAL SIMULATION;

CONTROLLERS; EDUCATION; ELECTRIC LOAD FORECASTING; EVOLUTIONARY ALGORITHMS; FUZZY NEURAL NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAGNETIC LEVITATION; MAGNETIC LEVITATION VEHICLES; NONLINEAR CONTROL SYSTEMS; PENDULUMS;

ADAPTIVE CONTROL SYSTEMS;

EID: 67649259235     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2009.2016572     Document Type: Article

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