| 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* |
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| 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. |
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| 作者姓名： | 侯增广 吴沧浦 |
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| 作者单位： | 北京理工大学自动控制系!北京，100081 |
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| 摘 要： | 本文给出了一种新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。
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| 关 键 词： | 大系统 递阶控制 神经网络 离散动态系统 非线性 |
| 收稿时间： | 1996/6/24 0:00:00 |
| 修稿时间： | 1997/3/14 0:00:00 |
A New Method for Hierarchical Optimization of Nonlinear Large-Scale Discrete-Time Dynamic Systems on the Basis of Neural Networks |
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| 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 & Applications,1998,15(1):69-74. |
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| Authors: | HOU Zengguang and WU Cangpu |
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| Abstract: | A novel neural network (LHCNN) for hierarchical control of nonlinear large-scale discretetime dynamic systems is put forward in the paper. The neural network is constructed compactly and concisely,and can be used to solve the problems effectively. It is more suitable for practical applications to real-time optimal control of large-scale dynamic systems. |
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| Keywords: | large-scale systems dynamic systems hierarchical control neural networks |
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