On-line identification of MIMO evolving Takagi-Sugeno fuzzy models

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2004, Pages 55-60

  Angelov, Plamen ^a   Xydeas, Costas ^a   Filev, Dimitar ^b  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b FORD MOTOR COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY RULE-BASED MODELS; FUZZY RULES; MULTI-INPUT-MULTI-OUTPUT (MIMO) SYSTEM MODEL; ON-LINE IDENTIFICATION;

ADAPTIVE SYSTEMS; BACKPROPAGATION; CHAOS THEORY; COMPUTER SIMULATION; GENETIC ALGORITHMS; KALMAN FILTERING; LEARNING SYSTEMS; MATHEMATICAL MODELS; ONLINE SYSTEMS; TIME SERIES ANALYSIS; VECTORS;

FUZZY SETS;

EID: 11144352228     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2004.1375687     Document Type: Conference Paper

References (11)

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