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Fixed-order robust H/sub /spl infin// filter design for Markovian jump systems with uncertain switching probabilities

机译:具有不确定切换概率的马尔可夫跳跃系统的固定阶鲁棒H / sub / spl infin //滤波器设计

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This paper discusses the fixed-order robust H/sub /spl infin// filtering problem for a class of Markovian jump linear systems with uncertain switching probabilities. The uncertainties under consideration are assumed to be norm-bounded in the system matrices and to be elementwise bounded in the mode transition rate matrix, respectively. First, a criterion based on linear matrix inequalities is provided for testing the H/sub /spl infin// filtering level of a filter over all the admissible uncertainties. Then, a sufficient condition for the existence of the fixed-order robust H/sub /spl infin// filters is established in terms of the solvability of a set of linear matrix inequalities with equality constraints. To determine the filter, a globally convergent algorithm involving convex optimization is suggested. Finally, a numerical example is used to illustrate that the developed theory is more effective than the existing results.
机译:本文讨论了一类具有不确定切换概率的马尔可夫跳跃线性系统的固定阶鲁棒H / sub / spl infin //滤波问题。假设所考虑的不确定性分别在系统矩阵中为范数界,并且在模式转换率矩阵中分别为元素界。首先,提供了基于线性矩阵不等式的标准,用于在所有允许的不确定性上测试滤波器的H / sub / spl infin //滤波水平。然后,就具有相等约束的一组线性矩阵不等式的可解性,建立了固定阶鲁棒H / sub / spl infin //滤波器存在的充分条件。为了确定滤波器,建议采用涉及凸优化的全局收敛算法。最后,通过数值算例说明了所发展的理论比现有结果更有效。

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