| dc.contributor.author | 张阿卜 | zh_CN |
| dc.contributor.author | 黄伟斌 | zh_CN |
| dc.date.accessioned | 2011-04-26T08:23:34Z | |
| dc.date.available | 2011-04-26T08:23:34Z | |
| dc.date.issued | 2000-02 | zh_CN |
| dc.identifier.citation | 信息与控制，2000（2）：70-75 | zh_CN |
| dc.identifier.uri | https://dspace.xmu.edu.cn/handle/2288/8418 | |
| dc.description.abstract | 摘 要: 本文提出了一种基于广义预测控制的神经网络预测控制方案. 预测控制器由对角递
归神经网络预测控制器和前向神经网络静态补偿器组成. 两种神经网络均采用遗传算法进行训
练. 仿真实验表明, 对于带纯时延的非线性被控对象, 采用遗传算法设计的对角递归神经网络预测
控制器具有令人满意的控制性能.
Abstract: Th is paper p ropo ses a neural netwo rk p redict ive cont ro l scheme based on generalized p redic2
t ive cont ro l (GPC). The p redict ive cont ro ller is made of diagonal recurrent neural netwo rk p redict ive con2
t ro ller (DRN PC) and feed fo rw ard neural netwo rk steady2state compensato r (FNC). Two k inds of neural net2
wo rk s are t rained using genet ic algo rithm s. The simulat ion results show sato sfacto ry perfo rmance of the neu2
ral netwo rk p redict ive cont ro ller fo r nonlinear p lants w ith dead t ime. | zh_CN |
| dc.language.iso | zh | zh_CN |
| dc.publisher | 《信息与控制》编辑部 | zh_CN |
| dc.relation.ispartofseries | 100220411 (2000) 012070206 | zh_CN |
| dc.subject | 广义预测控制 | zh_CN |
| dc.subject | 遗传算法 | zh_CN |
| dc.subject | 神经网络 | zh_CN |
| dc.subject | neural netwo rk, | zh_CN |
| dc.subject | generalized p redict ive cont ro l, | zh_CN |
| dc.title | 采用遗传算法训练对角递归神经网络预测控制器 | zh_CN |
| dc.title.alternative | TRA ININGOF D IAGONAL RECURRENT NEURAL NETWORK PRED ICTIVE CONTROLLER USING GENETIC ALGORITHM S | zh_CN |
| dc.type | Article | zh_CN |
