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Robust H/sub 2//H/sub /spl infin// filtering for linear systems with error variance constraints

机译:具有误差方差约束的线性系统的鲁棒H / sub 2 // H / sub / spl infin //滤波

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摘要

In this correspondence, we consider the robust H/sub 2//H/sub /spl infin// filtering problem for linear perturbed systems with steady-state error variance constraints. The purpose of this multiobjective problem is to design a linear filter that does not depend on the parameter perturbations such that the following three performance requirements are simultaneously satisfied. (1) The filtering process is asymptotically stable. (2) The steady-state variance of the estimation error of each state is not more than the individual prespecified value. (3) The transfer function from exogenous noise inputs to error state outputs meets the prespecified H/sub /spl infin// norm upper bound constraint. We show that in both continuous and discrete-time cases, the addressed filtering problem can effectively be solved in terms of the solutions of a couple of algebraic Riccati-like equations/inequalities. We present both the existence conditions and the explicit expression of desired robust filters. An illustrative numerical example is provided to demonstrate the flexibility of the proposed design approach.
机译:在这种对应关系中,我们考虑了具有稳态误差方差约束的线性摄动系统的鲁棒H / sub 2 // H / sub / spl infin //滤波问题。该多目标问题的目的是设计一种不依赖参数扰动的线性滤波器,以便同时满足以下三个性能要求。 (1)滤波过程是渐近稳定的。 (2)每种状态的估计误差的稳态方差不大于各个预定值。 (3)从外源噪声输入到错误状态输出的传递函数满足预定的H / sub / spl infin //规范上限约束。我们表明,在连续时间和离散时间情况下,所解决的滤波问题都可以通过几个代数Riccati式方程/不等式的解有效地解决。我们同时介绍了存在的条件和所需鲁棒滤波器的明确表达。提供了一个示例性的数值示例来演示所提出的设计方法的灵活性。

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