Results 181 to 190 of about 24,496 (212)

Locally Optimal Takagi-Sugeno Fuzzy Controllers

Proceedings of the 44th IEEE Conference on Decision and Control, 2006
This 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
openaire   +1 more source

A fuzzy output regulator for Takagi-Sugeno fuzzy models

Proceedings of the 2003 IEEE International Symposium on Intelligent Control ISIC-03, 2003
In 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, A. Titli, J.A. Meda-Campana   +2 more
openaire   +1 more source

Learning Fuzzy-Valued Fuzzy Measures for the Fuzzy-Valued Sugeno Fuzzy Integral

2010
Fuzzy 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, James M. Keller, Timothy C. Havens   +2 more
openaire   +1 more source

Bifurcation Phenomena in Elementary Takagi-Sugeno Fuzzy Systems

2006
The 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, Enrique Ponce, Javier Aracil   +2 more
openaire   +1 more source

Fuzzy MCDM and the Sugeno Integral

2010
We 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, Hélène Fargier, Sandra Sandri   +2 more
openaire   +1 more source

Introduction to Takagi–Sugeno Fuzzy Systems

2014
The 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
openaire   +1 more source

Anticontrol of Chaos for Takagi–Sugeno Fuzzy Systems

2006
The 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, Guanrong Chen, Wolfgang A. Halang   +2 more
openaire   +1 more source

Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing

International Journal of Information Management, 2021
Ilias O Pappas, Arch G Woodside
exaly  

Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview

Technological Forecasting and Social Change, 2022
Satish Kumar, Saumyaranjan Sahoo, Weng Marc Lim   +2 more
exaly  

A review of fuzzy AHP methods for decision-making with subjective judgements

Expert Systems With Applications, 2020
Yan Liu, Claudia M Eckert
exaly