不确定离散随机系统的鲁棒H∞滤波器

B. Boukili, A. Hmamed, F. Tadeo
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引用次数: 1

摘要

研究具有多面体不确定性的不确定离散随机系统的鲁棒H∞滤波问题。为了解决这个问题,我们引入相同的松弛矩阵变量,然后使用多项式参数相关的方法。然后推导出一些用严格线性矩阵不等式表示的条件,这些条件可以很容易地用标准数值软件进行检验。通过一个数值例子表明,这种新方法比以前在二次型和参数相关框架下的结果更保守。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust H∞ filters for uncertain discrete-time stochastic systems
This paper is concerned with the robust H∞ filtering for uncertain discrete-time stochastic systems with polytopic uncertainties. To solve this problem we introduce same slack matrix variables and then use a polynomial parameter dependent approach. Then some conditions expressed as strict linear matrix inequality conditions are derived, which can be easily tested by using standard numerical software. This new approach is shown, via a numerical example, to be less conservative than previous results in the quadratic and parameter-dependent frameworks.
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