Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/69386
標題: A Novel Fuzzy Ant Colony System for Parameter Determination of Fuzzy Controllers
作者: Tao, C.W.
Taur, J.S.
Jeng, J.T.
Wang, W.Y.
關鍵字: Ant Colony System;Optimization Problems;Fuzzy Control;Sliding Mode;Control;Inverted Pendulum and Cart System;neural-networks;optimization
Project: International Journal of Fuzzy Systems
期刊/報告no:: International Journal of Fuzzy Systems, Volume 11, Issue 4, Page(s) 298-307.
摘要: 
In this paper, a novel fuzzy ant colony system (FRCS) with a fuzzy mechanism and a fuzzy probable mechanism is presented for parameter determinations. Based on the fuzzy rules, the transition behavior of ants is simulated. The fuzzy probable mechanism is introduced with fuzzy probable rules to implement the diverse searching. The fuzzy probable rules are proposed to have the fuzziness in the antecedent parts and the probability in the consequent parts. To indicate the effectiveness, the fuzzy ant colony system is applied to find the proper parameters of the fuzzy sliding controllers for swinging and balancing the inverted pendulum and cart system. Also, the comparisons between the proposed fuzzy ant colony system and other ant colony optimization algorithms are provided in the simulations.
URI: http://hdl.handle.net/11455/69386
ISSN: 1562-2479
Appears in Collections:期刊論文

Show full item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.