基于幂指数的智能缓冲算子及其应用研究
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An intelligent buffer operator based on power exponent and its application
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    摘要:

    缓冲算子为解决系统冲击扰动预测陷阱问题提供了一种重要手段.当前缓冲算子存在公式种类繁杂、强弱算子不兼容、缓冲强度难以“低粒度”控制等缺陷.为此,文章首先对各类缓冲算子结构进行综合分析,然后结合“新信息优先”原理并引入幂指数构造了一种新结构智能缓冲算子,最后推导并证明了幂指数极性与缓冲算子类型的关系,研究了幂指数大小对缓冲强度的影响,结果表明新算子能实现强弱缓冲算子的完全兼容及缓冲强度的自由调节.文章通过对多种典型序列缓冲特征的数据分析,验证了新算子的智能性与缓冲结果的合理性,较好解决了系统冲击扰动预测陷阱问题.本研究对发展和丰富缓冲算子理论具有重要意义.

    Abstract:

    Buffer operators are important means of addressing the prediction trap problems caused by impact disturbances in a system. The existing buffer operators have some defects, such as the wide variety of formulas, the incompatibility between strengthening and weakening operators, and the difficulty in “low granularity” control of buffer intensity. To solve the problem, first the structures of various types of buffer operators are comprehensively analyzed, and a new intelligent buffer operator with a power exponent is constructed based on the principle of “new information priority”. Then, the relationship between the polarity of power exponent and the type of buffer operators is deduced and proven, and the effect of the power exponent on buffer intensity is studied. The results show that the new operator can realize the full compatibility between strengthening and weakening buffer operators, as well as allow for the free adjustment of buffer intensity. The intelligence of the new operator and the rationality of its buffering results are verified by analyzing the data from several typical sequences with buffering characteristics, and the prediction trap problems caused by impact disturbances in a system are addressed. The research is of great significance to the development and enrichment of buffer operator theory.

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曾波,尹凤凤,余乐安,刘思峰,Jianzhou Wang,白云.基于幂指数的智能缓冲算子及其应用研究[J].管理科学学报,2024,(10):68~87

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  • 在线发布日期: 2024-12-03
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