Sufficient conditions on general fuzzy systems as function approximators

Automatica

Volumn 30, Issue 3, 1994, Pages 521-525

  Ying, Hao ^a  

^a Department of Physiology and Biophysics Biomedical Engineering Center Office of Academic Computing ^*  (United States)

Author keywords

Approximation theory; fuzzy control; fuzzy systems; modeling; nonlinear systems; polynomials

Indexed keywords

APPROXIMATION THEORY; CONTROL THEORY; FUNCTION EVALUATION; FUZZY SETS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; POLYNOMIALS;

FUNCTION APPROXIMATORS; FUZZY CONTROL; GENERAL FUZZY SYSTEMS;

CONTROL SYSTEM ANALYSIS;

EID: 0028400629     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(94)90130-9     Document Type: Article

References (13)

1. Universal fuzzy controllers
2. A generalized defuzzification method via BAD distributions
3. Theory of T-norms and fuzzy inference methods
4. Design of fuzzy logic controllers based on generalized T-operators
5. Fuzzy systems as universal approximators
6. Fuzzy logic in control systems: Fuzzy logic controller
7. Fuzzy controls under various fuzzy reasoning methods
8. Sur la representation approachee des fonctions
9. Fuzzy systems are universal approximators
10. Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
11. General analytical structure of typical fuzzy controllers and their limiting structure theorems