| 引用本文: | 戴学丰.基于神经网络算法的实时DES监督控制[J].控制理论与应用,1997,14(5):708~711.[点击复制] |
| DAI Xuefeng.Supervisory Control of a Class of Real Time DES Based on Neural Networks Algorithm[J].Control Theory and Technology,1997,14(5):708~711.[点击复制] |
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| 基于神经网络算法的实时DES监督控制 |
| Supervisory Control of a Class of Real Time DES Based on Neural Networks Algorithm |
| 摘要点击 993 全文点击 999 投稿时间：1995-10-27 修订日期：1996-07-01 |
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| DOI编号 |
| 1997,14(5):708-711 |
| 中文关键词 实时离散事件系统 实时最优控制 神经网络 优化算法 自动机 监督控制 |
| 英文关键词 real time discrete event systems time optimal control neural networks optimization algorithm automata supervisory control |
| 基金项目 |
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| 中文摘要 |
| 本文在包含状态转移时间离散事件系统（ＤＥＳ）的自动机模型基础上，引入神经网络优化算法用以确定表征闭环系统最大允许逻辑行为的语言Ｋ的一个某项指标最优的子集Ｋoｐｔ，并探讨了这种情况下用Ｒ-Ｗ理论设计监控ＤＥＳ的有关问题． |
| 英文摘要 |
| In this paper we introduce the neural networks optimization algorithm to the discrete event systems (DES) with state transition times，which can be described by automata model， to determine language Kopt that not only is a subset of K representing closed-loop systems's behavioar in a minimally restrictive fashion but also makes a certain optimal performance index hold. And considered the issues related to the synthesis of supervisor using R-W theory. |