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Robust linear filtering for continuous-time hybrid Markov linear systems

机译:连续时间混合Markov线性系统的鲁棒线性滤波

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We consider a class of hybrid systems which is modelled by continuous-time linear systems with Markovian jumps in the parameters (LSMJP). We assume that only an output of the system is available, and therefore the values of the jump parameter are not known. It is desired to design a dynamic linear filter such that the closed loop system is mean square stable and minimizes the stationary expected value of the square error. We consider uncertainties on the parameters of the possible modes of operation of the system. A Linear Matrix Inequalities (LMI) formulation is proposed to solve the problem.
机译:我们考虑一类由带有Markovian的连续时间线性系统建模的混合系统,参数(LSMJP)中的Markovian跳转。我们假设只有系统的输出可用,因此跳转参数的值不知道。期望设计动态线性滤波器,使得闭环系统是均值稳定的,并最大限度地减少平方误差的静止预期值。我们考虑了对系统可能操作模式的参数的不确定性。提出了一种线性矩阵不等式(LMI)制剂来解决问题。

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