Title :
Hierarchical fuzzy control schemes for nonlinear systems
Author :
Wu, Ai ; Tam, Peter K S ; Chen, You-ping ; Zu-De Zhou
Author_Institution :
Center for NCE, Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
To reduce the difficulties in choosing an appropriate fuzzy knowledge base, ie., scaling factors, membership functions and rules etc., of a fuzzy controller, a hierarchical fuzzy controller (HFC) is proposed. This hierarchical fuzzy controller is divided into several hierarchical level subcontrollers, which can be designed separately. Each subcontroller can be designed easily and can perform well at a certain level and running state. According to the hierarchical structure, when all the subcontrollers perform well, the hierarchical fuzzy controller can gain good performance.
Keywords :
fuzzy control; hierarchical systems; nonlinear control systems; fuzzy knowledge base; hierarchical fuzzy control schemes; hierarchical level subcontrollers; membership functions; nonlinear systems; performance; rules; scaling factors; Algorithm design and analysis; Automatic control; Control systems; Error correction; Fuzzy control; Fuzzy sets; Fuzzy systems; Input variables; Nonlinear control systems; Nonlinear systems;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167492
