Nonlinear model predictive control using dsDNA-MC optimization

doi:10.3778/j.issn.1002-8331.2010.31.063

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (31): 225-227.DOI: 10.3778/j.issn.1002-8331.2010.31.063

• 工程与应用 • Previous Articles Next Articles

Nonlinear model predictive control using dsDNA-MC optimization

WANG Jian-yu^1，2，CHEN Jun-wei²，WANG Ning²

1.Department of Electrical Engineering，Jiangsu Changzhou Higher Vocational School of Construction，Changzhou，Jiangsu 213016，China
2.Institute of Cyber-System and Control，Zhejiang University，Hangzhou 310027，China

Received:2009-12-22 Revised:2010-03-29 Online:2010-11-01 Published:2010-11-01
Contact: WANG Jian-yu

采用dsDNA-MC优化的非线性系统预测控制

王建玉^1，2，陈俊伟²，王宁²

1.江苏省常州建设高等职业技术学校电子工程系，江苏常州 213016
2.浙江大学智能系统与控制研究所，杭州 310027

通讯作者: 王建玉

Abstract

Abstract: A membrane computing optimization algorithm with double stranded DNA structure（dsDNA-MC） is used for the design of input-constrained nonlinear predictive controller.Based on the analysis of the single-input single-output nonlinear system predictive control，the problem of nonlinear predictive control system is changed to nonlinear system optimization problem with input-constraint，and this problem is solved by using the dsDNA-MC algorithm.Simulation results show that the algorithm is feasible and effective.

Key words: model predictive control, nonlinear system, membrane computing, optimizing algorithm

摘要： 将基于DNA双链结构的膜计算优化方法（dsDNA-MC）用于输入受限的非线性预测控制器设计，提出了基于dsDNA-MC优化的非线性系统预测控制算法。在对单输入单输出非线性系统预测控制分析的基础上，将非线性系统预测控制问题归结为具有输入约束的非线性系统优化问题，并采用dsDNA-MC算法来求解这一问题。仿真结果表明该算法可行、有效。

关键词: 预测控制, 非线性系统, 膜计算, 优化算法

CLC Number:

TP273
TU243

WANG Jian-yu^1，2，CHEN Jun-wei²，WANG Ning². Nonlinear model predictive control using dsDNA-MC optimization[J]. Computer Engineering and Applications, 2010, 46(31): 225-227.

王建玉^1，2，陈俊伟²，王宁². 采用dsDNA-MC优化的非线性系统预测控制[J]. 计算机工程与应用, 2010, 46(31): 225-227.

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Nonlinear model predictive control using dsDNA-MC optimization

采用dsDNA-MC优化的非线性系统预测控制

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