Generalized receding horizon control of fuzzy systems based on numerical optimization algorithm

IEEE Transactions on Fuzzy Systems

Volumn 17, Issue 6, 2009, Pages 1336-1352

  Song, Chonghui ^a   Ye, Jinchun ^b   Liu, Derong ^c,d   Kang, Qi ^e  

^a NORTHEASTERN UNIVERSITY   (China)

^b CTC Holdings   (United States)

^c INSTITUTE OF AUTOMATION   (China)

^d University of Illinois   (United States)

^e TONGJI UNIVERSITY   (China)

Author keywords

Dynamic programming; Fuzzy systems; Numerical methods; Parallel processing; Receding horizon control (RHC)

Indexed keywords

ASYMPTOTICALLY STABLE; BASIC IDEA; CALCULATION ACCURACY; CLOSED-LOOP PERFORMANCE; COMPUTATION TIME; CONTROLLER DESIGNS; CONVERGENT ALGORITHMS; DESIGN METHOD; DESIGN PARAMETERS; ENGINEERING IMPLEMENTATION; FINITE DIFFERENCE; FUZZY DYNAMIC SYSTEMS; NUMERICAL OPTIMIZATIONS; OPEN PROBLEMS; OPTIMAL CONTROL PROBLEM; OPTIMAL CONTROLS; OPTIMIZATION PROCEDURES; PARALLEL PROCESSING; PROCESSING METHOD; RECEDING HORIZON CONTROL; RECEDING HORIZON CONTROL (RHC); SIGMOIDAL TRANSFORMATION; VALUE FUNCTIONS;

CONTROL THEORY; DIFFERENCE EQUATIONS; DIFFERENTIAL EQUATIONS; DYNAMIC PROGRAMMING; DYNAMICAL SYSTEMS; FUZZY CONTROL; FUZZY SYSTEMS; LYAPUNOV FUNCTIONS; NONLINEAR CONTROL SYSTEMS; NUMBER THEORY; NUMERICAL METHODS; OPTIMIZATION; PARALLEL PROCESSING SYSTEMS; PROCESSING; SYSTEMS ENGINEERING;

CONTROLLERS;

EID: 72649099376     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2009.2031560     Document Type: Article

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