Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for Anti-lock Braking Systems

Applied Soft Computing

Volumn 27, Issue , 2015, Pages 575-589

  Precup, Radu Emil ^a   Sabau, Marius Csaba ^a   Petriu, Emil M ^b  

^a POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Anti lock Braking Systems; Operating point selection algorithm; Particle Swarm Optimization; Real time experimental results; Simulated Annealing; Takagi Sugeno Kang fuzzy models

Indexed keywords

ANTI-LOCK BRAKING SYSTEMS; BIOMIMETICS; FUZZY LOGIC; GENETIC ALGORITHMS; LABORATORIES; LOCKS (FASTENERS); PARTICLE SWARM OPTIMIZATION (PSO); REAL TIME SYSTEMS; SIMULATED ANNEALING; STATE SPACE METHODS;

EQUIVALENCE PRINCIPLES; LABORATORY EQUIPMENTS; NATURE INSPIRED ALGORITHMS; OPERATING POINTS; OPTIMIZATION PROBLEMS; REAL TIME; SIMULATED ANNEALING ALGORITHMS; TAKAGI SUGENO KANG FUZZY MODEL;

MEMBERSHIP FUNCTIONS;

EID: 84919723792     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.07.004     Document Type: Article

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