Aggregated Fuzzy Control Systems
In this article, 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.
L. Acar et al., "Aggregated Fuzzy Control Systems," Proceedings of the American Control Conference (2002, Anchorage, AK), vol. 2, pp. 975, Institute of Electrical and Electronics Engineers (IEEE), Jan 2002.
The definitive version is available at https://doi.org/10.1109/ACC.2002.1023144
American Control Conference (2002: May 8-10, Anchorage, AK)
Electrical and Computer Engineering
Keywords and Phrases
Control system synthesis; Error analysis; Fuzzy sets; Hierarchical systems; Linear systems; Membership functions; State estimation; State space methods; Vectors; State variables; Steepest descent method; Fuzzy control
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jan 2002