| 引用本文: | 李树荣,李 峰.基于Hopfield网络的多变量动态矩阵控制及其在精馏塔系统中的应用[J].控制理论与应用,2001,18(2):304~306.[点击复制] |
| LI Shu-rong,LI Feng.The Dynamic Matrix Control Based on Hopfield Neural Network and Its Application in a Distillation Column[J].Control Theory and Technology,2001,18(2):304~306.[点击复制] |
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| 基于Hopfield网络的多变量动态矩阵控制及其在精馏塔系统中的应用 |
| The Dynamic Matrix Control Based on Hopfield Neural Network and Its Application in a Distillation Column |
| 摘要点击 1391 全文点击 1318 投稿时间：1999-06-15 修订日期：2000-03-21 |
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| DOI编号 10.7641/j.issn.1000-8152.2001.2.035 |
| 2001,18(2):304-306 |
| 中文关键词 神经网络 优化计算 动态矩阵控制 精馏塔 |
| 英文关键词 neural networks optimization dynamic matrix control distillation column |
| 基金项目 国家基础研究发展规划项目(G1998030200); 山东省自然科学基金(Q96G02150)资助项目. |
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| 中文摘要 |
| 利用Hopfield网络的优化计算功能求解有约束多变量动态矩阵控制问题, 算法简单, 收敛性好, 既可以用硬件实时实现, 也可用数值积分求解. 对Wood Berry精馏塔的仿真表明了算法的有效性. |
| 英文摘要 |
| In this paper, we solve the constrained multivariable dynamic matrix control problem by using the Hopfield neural network. The optimization neural network designed is guaranteed to be globally convergent to solutions of the corresponding quadratic optimization problems and has a simple structure that can be easily realized using electric circuit. The solutions can be obtained by hardware circuit or numerical algorithm. The simulation on the Wood Berry distillation column demonstrates the effectiveness of the proposed method. |