A new approach for designing TSK fuzzy systems from input-output data

Proceedings of the American Control Conference

Volumn 2, Issue , 2002, Pages 989-994

  Sonbol, Assem ^a   Sami Fadali, M ^a  

^a UNIVERSITY OF NEVADA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY CONTROLLER; FUZZY SYSTEM;

APPROXIMATION THEORY; ERROR ANALYSIS; FUZZY CONTROL; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; OPTIMIZATION;

CONTROL SYSTEM SYNTHESIS;

EID: 0036058752     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2002.1023147     Document Type: Conference Paper

References (11)

1. Fuzzy rules extraction directly from numerical data for function approximation
2. Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms
3. Selecting fuzzy if - Then rules for classification problems using genetic algorithms
4. A systematic approach to obtaining fuzzy sets for control systems
5. Optimization of fuzzy expert systems using genetic algorithms and neural networks
6. An enhanced two-level boolean synthesis methodology for fuzzy rules minimization
7. Fuzzy sets of rules for system identification
8. Approximation theory of fuzzy systems - MIMO case
9. Generating fuzzy rules by learning from examples