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Analysis on Control Performance Assessment Based on Minimum entropy

机译：基于最小熵的控制性能评估分析

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摘要

Most practical industry control systems are neither linear nor Gaussian. The performance of this kind control system cannot be described only by mean and variance. The minimum entropy control is effective method to solve this problem. Performance assessment benchmark based on minimum entropy is researched. The limitation of CPA based on the minimum variance benchmark is analyzed in this paper. Then the evaluation process of the minimum entropy control system is researched in this paper. Afterwards, influence factors of performance assessment benchmark based on minimum entropy are analyzed. Lastly, the simulation shows that the effective point distribution can improve the accuracy of performance assessment.
机译：大多数实用的行业控制系统既不是线性也不是高斯。这种控制系统的性能只能通过均值和方差来描述。最小熵控制是解决此问题的有效方法。研究了基于最小熵的性能评估基准。本文分析了基于最小方差基准的CPA的限制。然后，本文研究了最小熵控制系统的评估过程。然后，分析了基于最小熵的性能评估基准的影响因素。最后，仿真表明有效点分布可以提高性能评估的准确性。

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