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Robust Hinfamp;#x221E;/inf control for large-scale Systems with uncertain missing measurements probabilities

机译:鲁棒H ∞ 对大规模系统的控制,具有不确定的测量概率

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In this paper, robust stabilization problems for a class of large-scale systems with missing measurements are considered. It is assumed that the occurrence of missing measurements satisfies a Bernoulli random binary switching sequence with an unknown conditional probability distribution. A state feedback controller can be designed to make the closed-loop large-scale systems exponentially mean-square stable and achieve the prescribed H∞ performance in term of linear matrix inequality (LMI). A numerical example is also provided to demonstrate the validity of the proposed design approach.
机译:在本文中,考虑了一类具有缺失测量的大型系统的强大稳定问题。假设缺失测量的发生满足具有未知条件概率分布的Bernoulli随机二进制切换序列。状态反馈控制器可以设计为使闭环大规模系统指数均值平均稳定,并在线性矩阵不等式(LMI)中实现规定的H∞性能。还提供了一个数值示例以证明所提出的设计方法的有效性。

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