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计算DES监控中优于闭可识别语言的闭可观子语言(英文)

Computing Closed Observable Sublanguages Superior to the Supremal Closed Normal Sublanguage in Supervisory Control of DES
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摘要 本文给出一种求闭能观子语言的算法,该算法经m步(系统中离散事件个数)收敛;并且证明无论对系统中事件如何排序,由该算法求出的闭能观子语言总包含最大闭可识别子语言。 In this paper, an algorithm for computing closed observable sublanguages is given, which will converge within m steps (the number of discrete events in system). In addition, no matter how the events In system are sequenced, the. closed observable sublanguages got from the algorithm always contains the supremal closed normal sublanguage.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 1993年第6期670-675,共6页 Control Theory & Applications
关键词 离散事件 闭可观子语言 discrete event systems supervisory control observable language
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