Control and Identification in Cognitive Maps with Suppressing Constrained External and Internal Disturbances in Impulse Processes

V. Gubarev, V. Romanenko, Y. Miliavskyi
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引用次数: 0

Abstract

Dynamics of complex systems of different nature is described by mathematical models of impulse processes in cognitive maps (CM). Dynamics model is decomposed into two interrelated difference equations systems for measurable and unmeasurable CM nodes respectively. In the first equations system of the CM model fluctuations of the unmeasurable coordinates are considered as external disturbances. Structure and weighting coefficients of the CM model is previously identified in impulse process mode under incomplete measurements of the CM nodes coordinates. Variations of the CM weights against the identified values are considered as internal disturbances during further exploitation of the complex system. A closed-loop robust control system of the CM impulse process is designed in the report to suppress these constrained internal and external disturbances.
抑制脉冲过程中受约束的外部和内部干扰的认知地图的控制和识别
不同性质的复杂系统的动力学是用认知地图中脉冲过程的数学模型来描述的。将可测CM节点和不可测CM节点的动力学模型分别分解为两个相互关联的差分方程组。在CM模型的第一个方程组中,不可测坐标的波动被认为是外部扰动。在不完全测量CM节点坐标的情况下,在脉冲过程模式下识别CM模型的结构和权重系数。CM权重相对于识别值的变化被认为是复杂系统进一步开发过程中的内部扰动。为了抑制这些约束的内外部干扰,本文设计了一种闭环鲁棒控制系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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