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Bayesian Takagi–Sugeno–Kang Fuzzy Classifier
IEEE Transactions on Fuzzy Systems, 2017In this paper, the Takagi–Sugeno–Kang (TSK) fuzzy classifier is casted into the Bayesian inference framework and a new fuzzy classifier called Bayesian TSK fuzzy classifier (B-TSK-FC) is proposed accordingly. The proposed classifier can be constructed by learning both the antecedent and consequent parameters of the involved fuzzy rules simultaneously ...
Xiaoqing Gu, Fu-Lai Chung, Shitong Wang
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Locally Optimal Takagi-Sugeno Fuzzy Controllers
Proceedings of the 44th IEEE Conference on Decision and Control, 2006This paper presents a new suboptimal design for stable fuzzy controller. Using fuzzy plant model and locally optimal gains (based on LQR design), we suggest a sufficient condition for stability of the closed-loop system that can be expressed as Linear Matrix Inequaloities.
A. Massoud Farahmand, M.J. Yazdanpanah
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A fuzzy output regulator for Takagi-Sugeno fuzzy models
Proceedings of the 2003 IEEE International Symposium on Intelligent Control ISIC-03, 2003In this paper, the problem of forcing a nonlinear system to track a desired reference signal is addressed by combining the theory of output regulation and the Takagi-Sugeno fuzzy modelling. The designing of the fuzzy regulator is based on LMI techniques.
B. Castillo-Toledo +2 more
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Learning Fuzzy-Valued Fuzzy Measures for the Fuzzy-Valued Sugeno Fuzzy Integral
2010Fuzzy integrals are very useful for fusing confidence or opinions from a variety of sources. These integrals are non-linear combinations of the support functions with the (possibly subjective) worth of subsets of the sources, realized by a fuzzy measure.
Derek T. Anderson +2 more
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Bifurcation Phenomena in Elementary Takagi-Sugeno Fuzzy Systems
2006The relevance of bifurcation analysis in Takagi-Sugeno (T-S) fuzzy systems is emphasized mainly through examples. It is demonstrated that even the most simple cases can show a great variety of behaviors. Several local and global bifurcations (some of them, degenerate) are detected and summarized in the corresponding bifurcation diagrams.
Federico Cuesta +2 more
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Fuzzy MCDM and the Sugeno Integral
2010We study the case of using Sugeno integral to aggregate ill-known (fuzzy) local utilities. The proposed approach is based on the extension principle and a formulation of the Sugeno integral that does not require that utility values be totally ordered.We apply the proposed approach in a decision-making framework in which fuzzy rule-bases are used to ...
Didier Dubois +2 more
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Introduction to Takagi–Sugeno Fuzzy Systems
2014The T–S fuzzy approach has known a great interest of researchers many years ago [1, 2, 3, 4, 5]. The idea of this approach is to describe the comportment of a nonlinear system by a finite number of local linear subsystems inside different operating regions.
Abdellah Benzaouia, Ahmed El Hajjaji
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Anticontrol of Chaos for Takagi–Sugeno Fuzzy Systems
2006The current study on anticontrol of chaos for both discrete-time and continuous-time Takagi-Sugeno (TS) fuzzy systems is reviewed. To chaotifying discrete-time TS fuzzy systems, the parallel distributed compensation (PDC) method is employed to determine the structure of a fuzzy controller so as to make all the Lyapunov exponents of the controlled TS ...
Zhong Li +2 more
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