Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems

Knowledge-Based Systems

Volumn 38, Issue , 2013, Pages 74-84

  Precup, Radu Emil ^a   David, Radu Codruţ ^a   Petriu, Emil M ^b   Rǎdac, Mircea Bogdan ^a   Preitl, Stefan ^a   Fodor, János ^c  

^a WEST UNIVERSITY OF TIMISOARA   (Romania)

^b UNIVERSITY OF OTTAWA   (Canada)

^c ÓBUDA UNIVERSITY   (Hungary)

Author keywords

Gravitational Search Algorithm; Parametric sensitivity; Particle Swarm Optimization; Simulated Annealing; Takagi Sugeno PI fuzzy controllers

Indexed keywords

DEFUZZIFICATIONS; EQUIVALENCE PRINCIPLES; EVOLUTIONARY OPTIMIZATION ALGORITHM; EXTENDED SYMMETRICAL OPTIMUM METHOD; FUZZY CONTROLLERS; GRAVITATIONAL SEARCH ALGORITHMS; INTEGRAL COMPONENTS; LABORATORY EQUIPMENTS; OBJECTIVE FUNCTIONS; OPTIMAL TUNING; OPTIMIZATION PROBLEMS; PARAMETRIC SENSITIVITY; PARAMETRIC VARIATION; PARTICLE SWARM OPTIMIZATION ALGORITHM; PI-FUZZY CONTROLLER; PROCESS GAIN; PROPORTIONAL INTEGRAL CONTROLLERS; RULE BASE; SECOND-ORDER MODELS; SENSITIVITY FUNCTIONS; SENSITIVITY MODEL; SIMPLE STRUCTURES; SIMULATED ANNEALING ALGORITHMS; TAKAGI-SUGENO; TUNING PARAMETER; VARIABLE PARAMETERS; WEIGHTED AVERAGE METHOD;

COSTS; LABORATORIES; LEARNING ALGORITHMS; SERVOMECHANISMS; SIMULATED ANNEALING; TWO TERM CONTROL SYSTEMS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84871616825     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.07.006     Document Type: Article

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