An improved particle swarm optimization for exponential stabilization of a singular linear time-varying system

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题名:	An improved particle swarm optimization for exponential stabilization of a singular linear time-varying system
作者:	Tung,SL;Juang,YT;Lee,WH;Chiu,HC
贡献者:	電機工程學系
关键词:	LYAPUNOV STABILITY;MECHANICAL SYSTEMS;SPACE
日期:	2011
上传时间:	2012-03-28 10:13:44 (UTC+8)
出版者:	國立中央大學
摘要:	This paper derives an optimization problem for exponential stabilization condition of a singular linear time-varying system governed by the second-order vector differential equations and proposes an improved particle swarm optimization (PSO) method, called the adaptive fuzzy PSO with a constriction factor (AFPSO-cf) algorithm, for solving the optimization problem of exponential stabilization. The proposed AFPSO-cf algorithm adaptively adjusts the accelerating coefficients of PSO by using the fuzzy set theory to improve global searching ability of controller parameters. Compared with the standard particle swarm optimization (SPSO), the PSO with a constriction factor (PSO-cf), the Quadratic Interpolation PSO (QIPSO), the unified PSO (UPSO), the fully informed particle swarm (FIPS) and the comprehensive learning PSO (CLPSO) algorithms, the experiment results show that the proposed method significantly performs better than those algorithms. (C) 2011 Elsevier Ltd. All rights reserved.
關聯:	EXPERT SYSTEMS WITH APPLICATIONS
显示于类别:	[電機工程學系] 期刊論文

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