Title :
Aggregated fuzzy control systems
Author :
Acar, L. ; Chowdhury, B.H. ; Crow, M.L. ; Zhu, Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO, USA
Abstract :
A multi-resolutional approach in generating a hierarchical and aggregated fuzzy system description is provided. The process includes aggregation of the fuzzy sets describing the control system as well as the aggregation of the rules that map a collection of fuzzy set to another set. In generating the fuzzy rules, the cell-to-cell mapping technique along with a steepest descent method to fine tune the developed membership functions of the fuzzy sets is utilized. The results for a linear system are also presented.
Keywords :
continuous time systems; fuzzy control; fuzzy set theory; hierarchical systems; identification; linear systems; reduced order systems; aggregated fuzzy control systems; cell-to-cell mapping technique; fuzzy sets; hierarchical system; linear system; membership functions; multi-resolutional approach; steepest descent method; Control systems; Design methodology; Fuzzy control; Fuzzy sets; Fuzzy systems; Intelligent systems; Linear systems; Natural languages; Reduced order systems; State-space methods;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1023144
