控制理论与应用2001,Vol.18Issue(2):304-306,313,4.
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
Abstract
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.关键词
神经网络/优化计算/动态矩阵控制/精馏塔分类
信息技术与安全科学引用本文复制引用
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):304-306,313,4.