RGA-based on-line tuning of BMF fuzzy-neural networks for adaptive control of uncertain nonlinear systems

Neurocomputing

Volumn 72, Issue 10-12, 2009, Pages 2636-2642

  Leu, Yih Guang ^a   Wang, Wei Yen ^a   Li, I Hsum ^b  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

^b LEE MING INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Adaptive fuzzy neural control; B spline membership function; Fuzzy neural network; Reduced form genetic algorithm

Indexed keywords

ADAPTIVE CONTROLS; ADAPTIVE FUZZY-NEURAL CONTROL; ADJUSTABLE PARAMETERS; B-SPLINE MEMBERSHIP FUNCTION; CLOSED-LOOP SYSTEMS; CONTROL POINTS; FITNESS FUNCTIONS; FUZZY-NEURAL NETWORK; ON-LINE TUNING; REAL NUMBERS; REDUCED-FORM GENETIC ALGORITHM; SAFE REGIONS; SUPERVISORY CONTROLLERS; SYSTEM STATE; UNCERTAIN NONLINEAR SYSTEMS; WEIGHTING FACTORS;

ADAPTIVE ALGORITHMS; CONTROLLERS; FUNCTION EVALUATION; FUZZY CONTROL; FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS; GENETIC ENGINEERING; MEMBERSHIP FUNCTIONS; MICROCONTROLLERS; NONLINEAR SYSTEMS; NUMBER THEORY; SPLINES; TUNING;

ADAPTIVE CONTROL SYSTEMS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; FEASIBILITY STUDY; FUZZY SYSTEM; GENETIC ALGORITHM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; METHODOLOGY; NONLINEAR SYSTEM; ONLINE SYSTEM; PRIORITY JOURNAL; RANDOMIZATION; SIMULATION;

EID: 67349219690     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.10.005     Document Type: Article

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