Direct adaptive interval type-2 fuzzy control of multivariable nonlinear systems

Engineering Applications of Artificial Intelligence

Volumn 22, Issue 3, 2009, Pages 420-430

  Lin, Tsung Chih ^a   Liu, Han Leih ^b   Kuo, Ming Jen ^a  

^a FENG CHIA UNIVERSITY   (Taiwan)

^b CHIENKUO TECHNOLOGY UNIVERSITY   (Taiwan)

Author keywords

Direct adaptive control; H approach; Interval type 2 fuzzy set; MIMO; Upper and lower membership functions

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CONTROLLERS; FUZZY INFERENCE; FUZZY SETS; MEMBERSHIP FUNCTIONS; MIM DEVICES; MULTIPLEXING; NONLINEAR CONTROL SYSTEMS; NONLINEAR SYSTEMS; SYNCHRONOUS MOTORS;

CLOSED-LOOP SYSTEMS; CONTROL EFFORTS; DATA UNCERTAINTIES; DIRECT ADAPTIVE CONTROL; EXTERNAL DISTURBANCES; FUZZY CONTROL RULES; FUZZY CONTROLLERS; FUZZY LOGIC CONTROLLERS; GLOBAL STABILITIES; INTERVAL TYPE-2 FUZZY SET; MATCHING ERRORS; MIMO; MODEL-FREE; MULTIPLE-INPUT - MULTIPLE-OUTPUT SYSTEMS; MULTIVARIABLE NONLINEAR SYSTEMS; NON-LINEAR CONTROLLERS; NON-LINEAR CONTROLS; NONLINEAR MIMO SYSTEMS; SIMULATION RESULTS; TRACKING DESIGNS; TRACKING ERRORS; TRACKING PERFORMANCE; TRAINING ALGORITHMS; TRAINING DATUM; TYPE-2 FUZZY LOGIC SYSTEMS; UNIVERSAL APPROXIMATIONS; UPPER AND LOWER MEMBERSHIP FUNCTIONS;

FUZZY CONTROL;

EID: 61349115478     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.10.024     Document Type: Article

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