Delay-dependent robust peak-to-peak filtering for stochastic systems with time-delay

Guanglei Zhao, Jingcheng Wang
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Abstract

The problem of robust peak-to-peak filtering for a class of stochastic systems with time delay and L∞ disturbance is investigated in this paper. The objective is to design a robust peak-to-peak filter such that the peak value of the estimation error is minimized for possible bounded disturbances. A delay-dependent sufficient condition is presented, which guarantees the mean-square exponential stability and a prescribed H∞ performance level. A desired filter can be constructed by the proposed approach. All conditions are given in the form of LMI which can be solved effectively. A numerical example is given to illustrate the effectiveness of the proposed method.
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随机时滞系统的时滞相关鲁棒峰峰滤波
研究了一类具有时滞和L∞扰动的随机系统的鲁棒峰峰滤波问题。目标是设计一个鲁棒的峰对峰滤波器,使估计误差的峰值对于可能的有界干扰最小化。给出了时滞相关的充分条件,保证了均方指数稳定性和规定的H∞性能水平。用该方法可以构造出期望的滤波器。所有条件都以LMI的形式给出,可以有效地求解。算例说明了该方法的有效性。
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