| 引用本文: | 何玉彬，闫桂荣，徐健学.电液伺服结构试验系统的神经网络快速鲁棒跟踪控制*[J].控制理论与应用,1999,16(5):776~778.[点击复制] |
| He Yubin,Yan Guirong and Xu Jianxue.Neural Network Based Fast and Robust Tracking Control for Electro-Hydraulic Servo Structural Testing System[J].Control Theory and Technology,1999,16(5):776~778.[点击复制] |
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| 电液伺服结构试验系统的神经网络快速鲁棒跟踪控制* |
| Neural Network Based Fast and Robust Tracking Control for Electro-Hydraulic Servo Structural Testing System |
| 摘要点击 703 全文点击 370 投稿时间：1996-10-03 修订日期：1997-03-17 |
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| DOI编号 |
| 1999,16(5):776-778 |
| 中文关键词 结构试验系统 神经网络控制 在线学习 鲁棒性 |
| 英文关键词 structural testing system neural network control on-line leaming robustness |
| 基金项目 |
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| 中文摘要 |
| 针对结构试验系统的非线性和不确定性特性，提出一种神经网络并行自学习跟踪控制器，在满足试验系统实时性要求的条件下，通过神经网络在线建模和虚拟学习做到了控制器的在线自适应设计，并解决了实时训练样本不足的问题，实例仿真表明设计的控制系统具有良好的波形再现能力. |
| 英文摘要 |
| A parallel self-learning tracking controller based on neural networks,with respect to the complex nonlinearties and uncer-tainties of structural testing system,is presented in this paper.By introducing a neural network to model the controlled system and using virtu-al leaming,the controller can be adaptively designed on-line with no need of the real-time measured training data.Meantime, the real-time processing ability of the neural network. control for complex systems is assured. Simulation results of a real control system show it has good tracking ability. |