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2-D离散随机模糊系统的均方稳定性

Mean-square Stability for 2-D Discrete Stochastic Fuzzy Systems
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摘要 研究了一类2-D离散随机模糊系统的稳定问题,分析了该系统的H∞性能指标。首先,根据FM第二模型建立了2-D离散随机模糊系统。其次,利用基依赖Lyapunov函数等方法,建立了满足给定性能指标并使得系统均方渐近稳定的充分条件。与公共Lyapunov函数相比,基依赖Lyapunov函数方法可减小结果的保守性。通过实例验证了设计方法的有效性。 This paper mainly deals with the problem of mean-square stability and H∞ performance analysis for a class of 2-D discrete stochastic fuzzy systems. The 2-D discrete stochastic fuzzy system under consideration arc established by the Fornasini-Marchesini(FM) Second Model. Sufficient conditions of mean-square stability with H∞ performance for she 2-D discrete stochastic fuzzy system are proposed by using basis-dependent Lyapunov function. F:inally, a numerical example is given to illustrate the eftectivcness of the proposed method
出处 《杭州电子科技大学学报(自然科学版)》 2015年第6期70-74,共5页 Journal of Hangzhou Dianzi University:Natural Sciences
基金 国家自然科学基金资助项目(61273093) 浙江省自然科学基金重点资助项目(LZ12F03001)
关键词 2-D离散随机模糊系统 FM第二模型 基依赖Lyapunov函数 均方稳定 2-D discrete stochastic fuzzy system Fornasini-Marchesini second model basis-dependentLyapnnov function mean-square stability
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参考文献9

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