| 未知非线性系统的神经网络建模与控制仿真研究 |
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| 引用本文： | 吴杰长,陈国钧.未知非线性系统的神经网络建模与控制仿真研究[J].海军工程大学学报,2004,16(4):53-56. |
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| 作者姓名： | 吴杰长 陈国钧 |
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| 作者单位： | 海军工程大学,动力工程学院,湖北,武汉,430033 |
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| 基金项目： | 海军工程大学科学研究基金资助项目(HGDJJ01005) |
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| 摘 要： | 针对一类未知非线性系统的建模与控制问题,采用基于神经网络的多步预测控制算法进行了仿真研究,仿真对象选取控制工程界常用的单摆试验装置.该算法的实现步骤为:获取系统开环试验数据;辨识神经网络正向动态模型;设计非线性优化控制律.仿真研究结果表明,所提出的建模与控制方法是有效的.
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| 关 键 词： | 未知非线性系统 神经网络 建模与控制 |
| 文章编号： | 1009-3486(2004)04-0053-04 |
| 修稿时间： | 2004年2月3日 |
Research on modeling and control for unknown nonlinear system based on neural network |
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| WU Jie-chang,CHEN Guo-jun.Research on modeling and control for unknown nonlinear system based on neural network[J].Journal of Naval University of Engineering,2004,16(4):53-56. |
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| Authors: | WU Jie-chang CHEN Guo-jun |
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| Abstract: | To achieve the effective modeling and control strategy of a class of unknown nonlinear system, the in-depth theoretical exploration is carried through with a single pendulum as a study case. The application of NN-based method to identify the unknown nonlinear system, and the NN-based nonlinear multi-steps predictive control method are presented, which can be implemented in three steps: obtaining the open-loop test data, NN identification of the forward dynamic model, and implementing the nonlinear optimal control law. The simulation result shows that the modeling and control method is effective. |
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| Keywords: | unknown nonlinear system neural networks modeling and control |
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