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On Design of Robust H_(infinity) Filters for Uncertain Markovian Stochastic Systems

机译:关于不确定马尔科夫随机系统鲁棒H_(无限)滤波器的设计

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The problem of designing robust H_(infinity) filters for uncertain Markovian stochastic systems with time-varying delays is addressed in this paper. It is assumed that the Markovian systems are perturbed by Ito-type stochastic disturbances and subjected to parametric uncertainties and mode transition rate uncertainties. The main specification of robust H_(infinity) filters under design is to ensure that the filtering error system is robustly stochastically stable and a prescribed H_(infinity) disturbance attenuation level is met in the face of all admissible parameter uncertainties and time-delays. It is shown that the desired robust H_(infinity) filters can be readily designed by solving some linear matrix inequalities which are derived by using a stochastic Lyapunov-Krasovskii functional and the free-weighting matrix technique.
机译:本文解决了具有时变延迟的不确定马尔科维亚随机系统的鲁棒H_(无限)滤波器的问题。假设马尔可维亚系统受到ITO型随机紊乱的扰动,并经受参数的不确定性和模式过渡率不确定性。设计下的鲁棒H_(Infinity)滤波器的主要规范是确保滤波误差系统是强大的随机稳定的,并且面对所有可允许的参数不确定性和时延时满足规定的H_(Infinity)干扰衰减水平。结果表明,通过求解通过使用随机Lyapunov-Krasovskii功能和自由加权矩阵技术来求解一些线性矩阵不等式,可以容易地设计所需的鲁棒H_(Infinity)滤波器。

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