首页> 外文会议>2014 IEEE 3rd International Conference on Methods and Systems of Navigation and Motion Control >Optimal filtering of deterministic information in multivariate stationary measuring system with ivariety in dynamic models of its units and signals
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Optimal filtering of deterministic information in multivariate stationary measuring system with ivariety in dynamic models of its units and signals

机译:具有不确定性的多元平稳测量系统中确定性信息的最优过滤及其单元和信号的动态模型

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摘要

The paper presents a new algorithm of optimal structural synthesis for a filter-observer of deterministic information in multivariate stationary measuring system. The algorithm considers possibility of any unit or signal in such system to be dynamically various (to be unstable, non-minimal-phase etc.)
机译:提出了一种新的最优结构综合算法,用于多变量平稳测量系统中确定性信息的过滤观察。该算法认为该系统中任何单元或信号动态变化的可能性(不稳定,非最小相位等)。

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