Title :
Fuzzy systems with competitive objectives
Author :
Wang, Liang ; Langari, Reza
Author_Institution :
Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper proposes a new approach to designing fuzzy systems. The essential scheme is to decompose the overall system into subsystems and then combine their individual outputs. A novel concept, known as competition is introduced and a hybrid learning algorithm is developed. The utility of the proposed approach is illustrated by a numerical example
Keywords :
fuzzy set theory; fuzzy systems; parameter estimation; unsupervised learning; competitive objectives; fuzzy systems; hybrid learning algorithm; membership functions; parameter estimation; stochastic gradient method; supervised learning; total mediator; unsupervised learning; Fuzzy sets; Fuzzy systems; Input variables; Jacobian matrices; Neural networks; Neurons; Nonhomogeneous media; Stochastic processes; Stochastic systems; Switches;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.533842
