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时滞系统的神经网络预测控制 (英文)
The Neura Network Predictive Control of Time-Delay Systems
【摘要】 针对时滞系统的特点和采用神经网络单值预测控制存在的不足 ,提出了多步超前预测与补偿的控制算法 ,有效地增加了控制力度 ,改善了动态性能 ,并论述了增加的预测与补偿步数与稳定的关系
【Abstract】 With regards to the characteristics of time delay system and the weakness of single predictive control, this paper puts forward a control scheme of multi step ahead prediction and compensation, which increases control power effectively, and improves dynamic characteristics of the system. The paper also discusses the relationship between the step number of prediction and compensation and the stability of systems.
【关键词】 时滞系统;
多步预测与补偿;
增加的步数p;
稳定性;
【Key words】 time delay systems; multi step prediction and compensation; increased step number p; stability;
【Key words】 time delay systems; multi step prediction and compensation; increased step number p; stability;
- 【文献出处】 控制理论与应用 ,Control Theory & Applications , 编辑部邮箱 ,2001年06期
- 【分类号】TP183
- 【被引频次】48
- 【下载频次】307