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    多因系统动态逻辑关系研究

    On Dynamic Logic Relation of Multi-Cause Systems

    • 摘要: 针对因果控制理论与技术中的\控因" 问题, 研究了多因系统动态逻辑关系模型, 对多因系统进行合理控制. 采用云控制框架对该模型进行整体设计, 解决多因系统中的海量数据处理问题. 针对因系统耦合问题, 设计解耦观测器对多因系统间未知耦合项进行解耦观测. 给出分布式模型预测控制方法对多因系统的整体优化控制方案, 使多因系统在控制层面上达到整体性能最优. 对犯罪问题多因系统进行仿真分析, 验证了所提方法的有效性.

       

      Abstract: Aiming at \controlling cause" problem on Cause-effect control theory and technology, a dynamic logic relation model is studied and multi-cause systems are well controlled. A cloud control method is used to design the model and to handle massive data in control processing. Due to coupled problems, a decoupled observer is designed to decouple the unknown relationships in multi-cause systems. A distributed model predictive control method is proposed to give an overall optimization control scheme, so that the best control performance is achieved. A simulation of a crime problem is provided to demonstrate e®ectiveness of the proposed methods in this paper.

       

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