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Active Systems Communicational Control Assessment in Multi-Alternative Navigational Situations

机译:多种导航环境下的主动系统通信控制评估

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The paper goal is to investigate the influence of a communicative networking upon the navigation control and managerial decision making process in the framework of the subjective entropy maximum principle. The subjective analysis theory entropy paradigm makes it possible to consider the navigation control system based upon communication networks as an active system governed by an individual (active element of the control system) with the help of her/his individual subjective preferences optimal distributions obtained in conditions of operational multi-alternativeness and, those navigation operational alternatives, the active system active element's individual subjective preferences uncertainty. The described approach takes into account the simple navigational two-alternative operational situation in regards with the objectively existing effectiveness functions, related to informative communication, in the view of a controlled parameter and a combination of it with its rate as the product. The obtained expressions for the objective functional extremal functions of the effectiveness and preferences, as well as the subjective entropy of the alternatives preferences, illustrated in diagrams, visualize the navigational situation and allow taking a good choice. The ideas of the required proper governing, managing, and control methods choice optimization with respect to only 2 alternative navigational objective effectiveness functions arguments might be simple; nevertheless, increasing the number of motion control parameters and further complication of the problem setting will not change the principle of the problem solution.
机译:本文的目的是在主观熵最大原理的框架下研究通信网络对导航控制和管理决策过程的影响。主观分析理论的熵范式可以将基于通信网络的导航控制系统视为由个人(控制系统的主动要素)控制的主动系统,借助其在条件下获得的最佳主观个人偏好操作的多重替代性,以及那些导航操作的替代性,是活动系统活动元素的个人主观偏好不确定性。所描述的方法考虑到受控参数及其与速率的乘积的组合,考虑了与信息通信有关的客观存在的与信息交流有关的有效性功能,考虑到了简单的导航两种选择的操作情况。图示的有效性和偏好的客观功能极值函数的获得表达式,以及替代偏好的主观熵,如图所示,可视化了导航情况并允许做出很好的选择。仅针对两个备选的导航目标效能函数自变量进行必要的适当控制,管理和控制方法选择优化的想法可能很简单;但是,增加运动控制参数的数量以及问题设置的进一步复杂化不会改变问题解决方案的原理。

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