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T-S模糊粒子群优化建模及稳定性分析 被引量：2

A T-S Fuzzy PSO Model and Its Stability Analysis
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摘要 在粒子群优化问题空间是一维有界的前提下,本文结合T-S模糊框架提出了一种模糊粒子群优化模型,即粒子群优化中的速度和位置迭代公式变换为一个带时变非线性反馈的线性时不变系统,将其嵌入到T-S模糊状态模型,同时将粒子的认知部分和社会部分随机加权和的反向运动作为T-S模糊状态反馈控制.针对该模型,本文根据T-S稳定性理论和非线性随机系统Lyapunov稳定性理论分情况探讨了其稳定性. Assuming that the solution space is a one-dimensional bounded space,we present a T-S fuzzy stochastic PSO model.PSO is viewed as a time-invariant linear plant with a time-varying feedback controller that is embedded in the T-S fuzzy state system.The randomly weighted sum of the cognition and social components is used as the state feedback controller in the local linear state system.The asymptotic stability of the new model is discussed in two different cases using the Lyapunov stability theory of the nonlinear stochastic systems.
作者 冯纪强 谢维信 徐晨
机构地区 深圳大学ATR国防科技重点实验室 深圳大学智能计算科学研究所
出处 《电子学报》 EI CAS CSCD 北大核心 2011年第5期1150-1153,共4页 Acta Electronica Sinica
基金 国家自然基金(No.61070087 No.61001183) 国防科技重点实验室基金(No.9140C8004011007) 深圳市南山区科技计划项目(No.南科院2009046)
关键词 粒子群优化 Tanaka-Sugeno(T-S)模糊 稳定性 particle swarm optimization（PSO） Tagaki-Sugeno（T-S） fuzzy model stability
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献10

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二级参考文献43

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共引文献552

同被引文献21

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二级引证文献7

电子学报
2011年 第5期

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