Real-coded genetic algorithm based fuzzy sliding-mode controldesign for precision positioning

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Title:	Real-coded genetic algorithm based fuzzy sliding-mode controldesign for precision positioning
Authors:	Huang, Pai-yi;Lin, Sinn-cheng;Chen, Yung-yaw
Contributors:	淡江大學資訊與圖書館學系
Keywords:	fuzzy control;genetic algorithms;position control;self-adjusting systems;variable structure systems
Date:	1998-05
Issue Date:	2010-01-27 16:55:37 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Abstract:	A fuzzy sliding-mode controller was optimized through real-coded genetic algorithms and successfully implemented on an industrial XY table. The fuzzy sliding-mode controller is special type of fuzzy controller. By using the sliding surface, the fuzzy rule is simpler and the entire rule base is more compact. Thus, more easy to apply self-learning schemes. The real-coded genetic algorithm uses the internal floating-point representation of the computer system. With this advantage, the finite resolution problem of traditional genetic algorithm has been solved. The experimental results show the success of this approach.
Relation:	IEEE World Congress on Computational Intelligence 2, pp.1247-1252
Appears in Collections:	[Graduate Institute & Department of Information and Library Sciences] Proceeding

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