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Unbiased H_∞ filtering for stochastic systems with data packet losses

机译:无偏见的H_∞过滤数据包丢失的随机系统

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摘要

This paper presents the unbiased H_∞ filter design for stochastic systems with data packet losses. By constructing unbiased filter, the complexity and computational burden of the real-time filtering process are reduced greatly. Delay-dependent sufficient conditions for stochastic system with data packet losses are proposed in terms of linear matrix inequalities (LMIs). Numerical example demonstrates the proposed approaches are effective.
机译:本文介绍了具有数据包损耗的随机系统的无偏见的H_∞过滤器设计。通过构建非偏见的滤波器,实时滤波过程的复杂性和计算负担大大减少。在线性矩阵不等式(LMI)方面提出了具有数据分组损耗的随机系统的延迟相关的充分条件。数值示例演示了所提出的方法是有效的。

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