| 引用本文: | 侯增广，吴沧浦.一种新的非线性离散动态大系统递阶控制的神经网络方法发*[J].控制理论与应用,1998,15(1):69~74.[点击复制] |
| HOU Zengguang and WU Cangpu.A New Method for Hierarchical Optimization of Nonlinear Large-Scale Discrete-Time Dynamic Systems on the Basis of Neural Networks[J].Control Theory and Technology,1998,15(1):69~74.[点击复制] |
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| 一种新的非线性离散动态大系统递阶控制的神经网络方法发* |
| A New Method for Hierarchical Optimization of Nonlinear Large-Scale Discrete-Time Dynamic Systems on the Basis of Neural Networks |
| 摘要点击 848 全文点击 381 投稿时间：1996-06-24 修订日期：1997-03-14 |
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| DOI编号 |
| 1998,15(1):69-74 |
| 中文关键词 大系统 动态系统 递阶控制 神经网络 |
| 英文关键词 large-scale systems dynamic systems hierarchical control neural networks |
| 基金项目 |
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| 中文摘要 |
| 本文给出了一种新的具有全集成化特征的、求解非线性动态大规模系统递阶控制问题 （LOCP）的神经网络模型（LHCNN）， 该神经网络具有结构简洁、紧凑、高效的特点， 适合于动态大规模系统的实时优化控制. |
| 英文摘要 |
| A novel neural network （LHCNN） for hierarchical control of nonlinear large-scale discrete- time dynamic systems is put forward in the paper. The neural network is constructed compactly and concise- ly,and can be used to solve the problems effectively.lt is more suitable for practical applications to real-time optimal control of large-scale dynamic systems. |