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基于随机P-集合的系统状态检测-识别 被引量:1

System State Detection-Recognition Based on Random P-sets
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摘要 在P-集合概念的基础上,根据元素迁移的随机性,结合随机P-集合的结构,给出随机P-集合的系统状态函数及状态函数萎缩-扩张定理、状态函数还原定理及状态函数分辨定理,给出系统状态的偏离度量和系统状态识别准则,并举例说明了随机P-集合在系统状态检举识别中的应用。 Based on the concept of packet sets (P-sets), according to the random characteristics of element transfer and structure of random packet sets, the state function and shrinking-extension theorem, reduction-discernible theorem for state function were given,and then the measurement of state departure and criterion of system state recognition were presented. The application of random P-sets in system state detection-recognition was given.
出处 《计算机科学》 CSCD 北大核心 2013年第7期178-181,共4页 Computer Science
基金 国家自然科学基金(70771081) 河南省自然科学基金项目(122300410222)资助
关键词 随机P-集合 状态函数 偏离度量 系统状态检测-识别 萎缩-扩张 Random P-sets, State function, Departure measurement, System state detection-recognition, Shrinking-extension
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