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H filtering for nonuniformly sampled systems

机译:非均匀采样系统的H 滤波

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摘要

This paper is concerned with the design of an H filter for a discrete-time system, for which the measurement is sampled nonuniformly but the control is updated uniformly at a fast rate. It is shown that this type of system can be represented by a discrete-time Markovian jump system by modeling the nonuniform measurement using a Markov chain. A mode-dependent H filter is constructed. Sufficient LMI conditions are derived to ensure stochastic stability and H disturbance attenuation for the error system. The effectiveness of the proposed approach is demonstrated through a numerical example.
机译:本文涉及一种用于离散时间系统的H 滤波器的设计,该系统的测量值采样不均一,但控制却以均匀的速率快速更新。结果表明,通过使用马尔可夫链对非均匀测量值进行建模,可以用离散时间马尔可夫跳跃系统表示这种类型的系统。构造了依赖于模式的H 滤波器。推导了足够的LMI条件,以确保误差系统的随机稳定性和H 干扰衰减。通过数值例子证明了该方法的有效性。

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