Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
A genetic algorithm for optimizing Takagi-Sugeno fuzzy rule bases
Fuzzy Sets and Systems
An LMI-based H∞ fuzzy control system design with TS framework
Information Sciences: an International Journal - Special issue analytical theory of fuzzy control with applications
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
H_2 Control design for fuzzy dynamic systems via LMI
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Switching control of an R/C hovercraft: stabilization and smoothswitching
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Observers for Takagi-Sugeno fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
On the stability issues of linear Takagi-Sugeno fuzzy models
IEEE Transactions on Fuzzy Systems
Mixed H2/H∞ fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach
IEEE Transactions on Fuzzy Systems
On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models
IEEE Transactions on Fuzzy Systems
Differences between t-norms in fuzzy control
International Journal of Intelligent Systems
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In this paper, Takagi-Sugeno (T-S) fuzzy control problem withminimizing H2/H∞ norm is studied. A newapproach in designing fuzzy controller is called T-S region-basedfuzzy controller (TSRFC), which is derived from the fuzzy regionconcept and the robust control technique. The fuzzy region conceptis used to divide the general plant rules into several fuzzyregions and the robust control technique is used to stabilize allplant rules of each fuzzy region. A theorem in synthesizing TSRFCis derived from Lyapunov stability criterion, which is expressed interms of LMIs. This proposed idea is greatly reduced the totalnumber of LMIs and controller rules. For this reason, TSRFC is easyto implement with simple hardware. TSRFC is able to provide goodperformances as well as PDC-based designs even though thecontroller rules are reduced.