On relaxed LMI-based design for fuzzy controllers

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2001, Pages 704-707

  Teixeira, Marcelo C M ^a   Assunção, Edvaldo ^a   Avellar, Rodrigo G ^a  

^a SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

Control of non linear systems; Fuzzy control; Linear matrix inequalities (LMI); Quadratic stability; T S fuzzy model

Indexed keywords

CONVEX PROGRAMMING TECHNIQUES; FUZZY MODELS; FUZZY REGULATOR DESIGN; LINEAR MATRIX INEQUALITIES; NONLINEAR CONTINUOUS TIME SYSTEMS; QUADRATIC STABILITY; STABILITY ANALYSIS;

COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; MATHEMATICAL MODELS; MATRIX ALGEBRA; NONLINEAR CONTROL SYSTEMS; SYSTEM STABILITY; SYSTEMS ANALYSIS;

FUZZY CONTROL;

EID: 0036343444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Fuzzy identification of systems and its applications to modeling and control
2. Structure identification of fuzzy model
3. Stability analysis and design of fuzzy control systems
4. Stability and stabilizability of fuzzy-neural-linear control systems
5. An approach to fuzzy control of nonlinear systems: Stability and design issues
6. Lyapunov-like stability theorems for discrete-time fuzzy control systems
7. Further results about quadratic stability of continuous-time fuzzy control systems
8. Fuzzy regulators and fuzzy observers: Relaxed stability conditions and LMI-based designs
9. New approaches to relaxed quadratic stability condition of fuzzy control systems
10. Stabilizing controller design for uncertain nonlinear systems using fuzzy models
11. A unified approach to controlling chaos via an LMI-based fuzzy control system design
12. Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach