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Improving the stability conditions of TS fuzzy systems with fuzzy Lyapunov functions
(2011-12-01)
In this paper, the fuzzy Lyapunov function approach is considered for stabilizing continuous-time Takagi-Sugeno fuzzy systems. Previous linear matrix inequality (LMI) stability conditions are relaxed by exploring further ...
On relaxed LMI-based design for fuzzy controllers
(IEEE, 2001-01-01)
Relaxed conditions for stability of nonlinear continuous-time systems given by fuzzy models axe presented. A theoretical analysis shows that the proposed method provides better or at least the same results of the methods ...
A comparative study between two relaxed LMI-based fuzzy control designs
(2005-09-01)
A comparative study, with theoretical analysis and digital simulations, of two conditions based on LMI for the quadratic stability of nonlinear continuous-time dynamic systems, described by Takagi-Sugeno fuzzy models, are ...
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization
(2007-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems, which uses technique based on error back-propagation method. The free parameters of the fuzzy inference system, such as its intrinsic ...
Tuning of fuzzy inference systems through unconstrained optimization techniques
(2003-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...