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Stability analysis and design of Takagi–Sugeno fuzzy systems
- Source :
- Information Sciences. 176:2817-2845
- Publication Year :
- 2006
- Publisher :
- Elsevier BV, 2006.
-
Abstract
- This work presents stable composite control criteria for multivariable Takagi-Sugeno (T-S) fuzzy systems. On the basis of the linear matrix inequality (LMI) control strategy and parametric optimization, the composite fuzzy control algorithms are derived. Unlike earlier studies of fuzzy control systems on an LMI framework, this investigation develops a supervisory control approach, such that a fuzzy controller can be synthesized more efficiently. Moreover, a robust control scheme is applied to the T-S fuzzy model with parametric uncertainties. The sufficient conditions are deduced in the form of reduced LMIs and adaptive tuning rules. Finally, numeric simulations are given to validate the proposed approach.
- Subjects :
- Mathematical optimization
Adaptive neuro fuzzy inference system
Information Systems and Management
Linear matrix inequality
Fuzzy control system
Fuzzy logic
Computer Science Applications
Theoretical Computer Science
Supervisory control
Computer Science::Systems and Control
Artificial Intelligence
Control and Systems Engineering
Control theory
Fuzzy associative matrix
Robust control
Software
Mathematics
Subjects
Details
- ISSN :
- 00200255
- Volume :
- 176
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........c84daabda790b638bcac62b40edcbb49