Neuro-fuzzy methods for nonlinear system identification

Annual Reviews in Control

Volumn 27 I, Issue 1, 2003, Pages 73-85

  Babuška, Robert ^a   Verbruggen, Henk ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

ANFIS network; Clustering; Neuro fuzzy systems; Nonlinear identification; Takagi Sugeno fuzzy system

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; FAULT TOLERANT COMPUTER SYSTEMS; FUZZY SETS; INDUSTRIAL APPLICATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS; PATTERN RECOGNITION; REGRESSION ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS); TIME VARYING CONTROL SYSTEMS;

NEURO-FUZZY SYSTEMS; TAKAGI-SUGENO FUZZY SYSTEM;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0141501530     PISSN: 13675788     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1367-5788(03)00009-9     Document Type: Review

References (13)

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