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网络诱导的测量信息丢失与多重时滞离散系统的H_∞滤波

H_∞ Filtering for Network-induced Discrete Systems with Missing Measurements and Multiple Time Delays
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摘要 文章阐述了一类网络诱导的测量信息丢失、多重时滞、随机离散非线性系统的H_∞滤波问题。采用Lyapunov稳定理论和矩阵技术,取得了系统在均方意义下的指数稳定的充分条件,并给出滤波器的设计过程。最后,通过数值例子说明了文章结论的有效性。 The H∞ filtering problem was explored under a class of stochastic discrete nonlinear systems with network-induced multiple time delays and missing measurements. By using Lyapunov stability theorem and the matrix technologies,a sufficient condition of exponential stability of these systems in the mean-square sense was achieved,and the designed process of filter was provided. At last,a numerical example was given to demonstrate the validity of the paper results.
作者 车艳 舒慧生 CHE Yan SHU Huisheng(College of Information Engineering, Putian University, Putian 351100, China School of Computer Science and Technology, Donghua University, Shanghai 201620, China)
出处 《贵州大学学报(自然科学版)》 2017年第3期53-57,共5页 Journal of Guizhou University:Natural Sciences
基金 福建省教育厅资助省属高校专项课题(JK2015041 JK2015042) 福建省教育厅中青年项目(JAT160443) 莆田市科技项目(2015G2011)
关键词 网络诱导复杂性 测量数据丢失 多重时延 H∞滤波 随机非线性系统 network-induced complexities missing measurements multiple time delays H∞ filtering stochastic nonlinear systems
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