Title :
Two-layer multiple-variable fuzzy logic controller
Author :
Han, Jia-Yuan ; McMurray, Vincent
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
A new type of multiple-variable fuzzy logic controller is proposed, called the two-layer multiple-variable fuzzy logic controller. In the first layer, various fuzzy decision-making logics are applied to fuzzy variables. The feedback is the weighted sum of the fuzzy variables obtained from fuzzy inference. In the second layer, the weight of each variable is determined by fuzzy inference and system parameters. The two-layer fuzzy control algorithms are applied to a nonlinear, cart-pole system. Computer simulations show the effectiveness and better performances of the two-layer fuzzy logic controllers
Keywords :
feedback; fuzzy control; inference mechanisms; nonlinear control systems; cart-pole system; fuzzy decision-making logics; fuzzy inference; multiple-variable fuzzy logic controller; system parameters; two-layer fuzzy control algorithms; two-layer fuzzy logic controllers; weighted sum; Application software; Computer simulation; Control systems; Decision making; Feedback; Fuzzy control; Fuzzy logic; Fuzzy systems; Inference algorithms; Nonlinear control systems;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
