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Robust H-infinity filtering for discrete time-varying uncertain systems with a known deterministic input

机译:具有已知确定性输入的离散时变不确定系统的鲁棒H无限滤波

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In this paper, a new discrete-time dynamic game where two players seek to reinforce and suppress the output of a system under the influence of a known deterministic input is considered. A necessary and sufficient condition for the existence of a saddle-point solution to this game is derived in terms of a discrete-time Riccati difference equation. The result of the game is used to solve the robust H-infinity filtering problem for discrete time-varying systems subject to a known deterministic input and norm-bounded parameter uncertainties occurring in both the state and the output matrices of the state-space model. There is no restriction on the form of the filter. This allows the effect of the known input on the estimation error due to system uncertainties to be optimally reduced without any prior assumption on the filter structure. [References: 23]
机译:在本文中,考虑了一种新的离散时间动态游戏,其中两个玩家试图在已知确定性输入的影响下增强和抑制系统的输出。根据离散时间里卡蒂差分方程,得出了该游戏鞍点解存在的必要和充分条件。博弈的结果用于解决离散时变系统的鲁棒H无限滤波问题,该系统在状态空间模型的状态矩阵和输出矩阵中都存在已知的确定性输入和范数界参数不确定性。过滤器的形式没有限制。这使得由于系统不确定性导致的已知输入对估计误差的影响得以最佳地减小,而无需对滤波器结构进行任何事先假设。 [参考:23]

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