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dc.contributor.author张阿卜 zh_CN
dc.contributor.author黄伟斌zh_CN
dc.date.accessioned2011-04-26T08:23:34Z
dc.date.available2011-04-26T08:23:34Z
dc.date.issued2000-02zh_CN
dc.identifier.citation信息与控制,2000(2):70-75zh_CN
dc.identifier.urihttps://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.isozhzh_CN
dc.publisher《信息与控制》编辑部zh_CN
dc.relation.ispartofseries100220411 (2000) 012070206zh_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.subjectneural netwo rk,zh_CN
dc.subjectgeneralized 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.alternativeTRA ININGOF D IAGONAL RECURRENT NEURAL NETWORK PRED ICTIVE CONTROLLER USING GENETIC ALGORITHM Szh_CN
dc.typeArticlezh_CN


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