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首页> 外文期刊>International journal of general systems >Modeling of extremal fuzzy dynamic systems. Part Ⅵ. Problems of states estimation (filtration) of extremal fuzzy process
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Modeling of extremal fuzzy dynamic systems. Part Ⅵ. Problems of states estimation (filtration) of extremal fuzzy process

机译:极值模糊动态系统的建模。第六部分。极值模糊过程的状态估计(过滤)问题

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摘要

A fuzzy-integral model of an extremal fuzzy process (EFP) is considered. The model describes the evolution of one class of weakly structurable fuzzy dynamic systems (Klir 1985), i.e. of the so-called extremal fuzzy dynamic systems, which have been constructed in Part Ⅲ of this work. In the present paper, problems of an optimal filtering of continuous as well as of discrete EFP are solved by means of "past" evaluating information. Sufficient conditions are established for the existence of an optimal estimating fuzzy process. Using only one "past" evaluating fuzzy state of the considered system, variants of fuzzy observers (representations of an optimal estimating EFP) are constructed in terms of approximation of piecewise-constant and extremally measurable filtration functions for continuous and discrete extremal fuzzy dynamic systems. The results obtained are illustrated by a numerical example.
机译:考虑了极值模糊过程(EFP)的模糊积分模型。该模型描述了一类弱可构造的模糊动力系统(Klir 1985)的演化,即所谓的极值模糊动力系统,该系统已在本文的第三部分中构建。在本文中,通过“过去”评估信息解决了连续EFP和离散EFP的最佳过滤问题。为存在最优估计模糊过程建立了充分条件。仅使用一个“过去”评估所考虑系统的模糊状态,就连续和离散的极值模糊动态系统的分段常数和极值可测过滤函数的近似值构造了模糊观测器的变体(最优估计EFP的表示)。数值示例说明了获得的结果。

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