| 基于径向基函数网络的一步超前预测控制研究 |
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| 引用本文： | 丁国锋,王孙安,等.基于径向基函数网络的一步超前预测控制研究[J].控制与决策,1996,11(4):485-489,509. |
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| 作者姓名： | 丁国锋 王孙安 |
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| 作者单位： | 西安交通大学机械工程学院 |
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| 摘 要： | 提出一种基于径向基函数（RBF）神经网络的一步超前预测控制算法。该方法只用于一个网络，控制量的获取只求几步迭代，算法简单并有较好的实用性。通过对离散非线性系统的仿真证明了算法的有效性。
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| 关 键 词： | 神经网络 预测控制鲁棒性 径向基函数 |
Research on One-step Ahead Predictive Control Based on Radial Base Functions Network |
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| Ding Guofeng,Wang Sun''''an,Lin Tingqi,Shi Weixiang.Research on One-step Ahead Predictive Control Based on Radial Base Functions Network[J].Control and Decision,1996,11(4):485-489,509. |
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| Authors: | Ding Guofeng Wang Sun'an Lin Tingqi Shi Weixiang |
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| Affiliation: | Xi'an Jiaotong University |
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| Abstract: | In this paper, a one-step ahead predictive control algorithm based on Radial Base Function (RBF)neural networks is proposed, which needs only one neural network. The algorithm is simple, and the control value can be acquired by only a few iterations. Thus it has good real-time property. Through the simulation for a discrete nonlinear system, it is obvious that the algorithm posseses good control performance such as robustness. |
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| Keywords: | neural network predictive control robustness |
| 本文献已被 CNKI 维普 等数据库收录！ |
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