Adaptive fuzzy control of nonaffine nonlinear systems using Takagi-Sugeno fuzzy models

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2001, Pages 642-645

  Yoon, Pil Sang ^a   Park, Jang Hyun ^a   Park, Gwi Tae ^a  

^a Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

SINGLE INPUT SINGLE OUTPUT NONLINEAR SYSTEMS; TAKAGI-SUGENO FUZZY MODELS;

ADAPTIVE CONTROL SYSTEMS; APPROXIMATION THEORY; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; FUZZY SETS; LYAPUNOV METHODS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION;

FUZZY CONTROL;

EID: 0036348841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Fuzzy systems are universal approximators
2. Fuzzy basis functions universal approximation, and orthogonal least-squares learning
3. Fuzzy logic controllers are universal approximators
4. Stable adaptive fuzzy control of nonlinear systems
5. Stable adaptive fuzzy controllers with application to inverted tracking
6. Fuzzy control of nonlinear systems using two standard techniques
7. Adaptive neural network control of nonlinear systems by state and output feedback
8. Fuzzy identification of systems and its application in modelling and control
9. Stability analysis and design of fuzzy control systems