T-S fuzzy model identification with growing and pruning rules for nonlinear systems

Zidonghua Xuebao/Acta Automatica Sinica

Volumn 33, Issue 10, 2007, Pages 1097-1100

  Liao, Long Tao ^a   Li, Shao Yuan ^a   Huang, Guang Bin ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Average response; Fuzzy rule; Growing and pruning; Online identification; T S model

Indexed keywords

EXTENDED KALMAN FILTERS; FUZZY RULES; IDENTIFICATION (CONTROL SYSTEMS); NEURAL NETWORKS; NONLINEAR SYSTEMS;

AVERAGE RESPONSE; CONTINUOUSLY STIRRED TANK REACTOR; ONLINE IDENTIFICATION; REAL TIME DATA;

FUZZY SYSTEMS;

EID: 35948944520     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.1360/aas-007-1097     Document Type: Article

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