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基于邻居边界度的自主决策系统性能边界识别方法

路辉 吕静茹 王诗琪 孙泽斌

北京航空航天大学学报2026,Vol.52Issue(1):80-93,14.
北京航空航天大学学报2026,Vol.52Issue(1):80-93,14.DOI:10.13700/j.bh.1001-5965.2023.0767

基于邻居边界度的自主决策系统性能边界识别方法

Performance boundary identification method for autonomous decision-making systems based on neighbor boundary degree

路辉 1吕静茹 2王诗琪 1孙泽斌3

作者信息

  • 1. 北京航空航天大学 电子信息工程学院,北京 100191
  • 2. 中国移动通信集团北京有限公司,北京 100007
  • 3. 北京航空航天大学 可靠性与系统工程学院,北京 100191
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摘要

Abstract

The ability of an autonomous decision-making system to withstand disruptions is reflected in its performance boundary,which is a crucial indicator of its resilience.A performance boundary identification approach based on neighbor boundary degrees is proposed for autonomous decision-making systems,taking into account the features of multi-space distribution and incremental creation of performance boundary data.In order to solve the absolute scale measurement problem,we first design the neighbor boundary degree index.Then,we propose a performance boundary identification process based on neighbor boundary degree,which addresses the challenges of a complex performance boundary search space and non-uniform scale throughout the space.Secondly,the incremental performance boundary Identification method based on neighbor boundary degree is proposed by combining incremental data with the original identification results in order to accurately describe the performance boundary and to achieve efficient incremental data processing.An approximate nearest neighbor search optimization technique that enhances local sensitive hashing is then suggested in order to address the efficiency issue of nearest neighbor search and reverse nearest neighbor search that arose in the incremental phase.Finally,benchmark systems and path planning systems are used as autonomous decision-making systems to carry out verification and analysis of theoretical research work.Experimental results show that the performance boundary identification method based on neighbor boundary degree has good generalization ability of algorithm parameters.In the experiment on the path planning system,this method has a 13.68%higher boundary recognition accuracy and a 91.57%shorter running time compared to the comparison method.

关键词

自主决策系统/鲁棒性测试/性能边界识别/增量识别/局部敏感哈希

Key words

autonomous decision-making system/robustness test/performance boundary identification/incremental identification/locality sensitive Hashing

分类

航空航天

引用本文复制引用

路辉,吕静茹,王诗琪,孙泽斌..基于邻居边界度的自主决策系统性能边界识别方法[J].北京航空航天大学学报,2026,52(1):80-93,14.

基金项目

国家自然科学基金(62371030) National Natural Science Foundation of China(62371030) (62371030)

北京航空航天大学学报

1001-5965

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