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Finite-time boundedness filtering for discrete-time Markovian jump system subject to partly unknown transition probabilities

机译:具有部分未知转移概率的离散时间马尔可夫跳跃系统的有限时间有界滤波

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摘要

This paper investigates the problem of finite-time boundedness filtering for discrete-time Markovian jump system subject partly unknown transition probabilities. By using the multiple Lyapunov function approach, a novel sufficient condition for finite-time bounded of H_∞ filtering is derived and the system trajectory stays within a prescribed bound during a specified time interval. Finally, an example is provided to illustrate the usefulness and effectiveness of the proposed method.
机译:本文研究了部分未知转移概率的离散时间马尔可夫跳跃系统的有限时间有界滤波问题。通过使用多重Lyapunov函数方法,推导了H_∞滤波的有限时界的新颖的充分条件,并且系统轨迹在指定的时间间隔内保持在规定的范围内。最后,提供了一个例子来说明所提出方法的有效性和有效性。

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