| 多变量系统的RBFNN内模控制 |
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| 引用本文： | 曹建云.多变量系统的RBFNN内模控制[J].自动化技术与应用,2003,22(6):13-15. |
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| 作者姓名： | 曹建云 |
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| 作者单位： | 南通工学院自动化系,南通,226007 |
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| 摘 要： | 本文研究了基于逆系统方法的神经网络内模控制。选用径向基函数神经网络(RBFNN)逼近对象的α阶积分逆系统，以之与原系统组合，使其解耦线性化以后再采用内模控制。最后以两输入两输出的磁悬浮系统设备的数学模型为对象进行了仿真，结果表明这种方法具有较好的控制效果。
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| 关 键 词： | 多变量系统 径向基函数神经网络 RBFNN 内模控制 鲁棒性 数学模型 |
| 文章编号： | 1003-7241(2003)06-0013-03 |
Multivariable RBFNN Internal Model Control |
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| CAO Jian-yun.Multivariable RBFNN Internal Model Control[J].Techniques of Automation and Applications,2003,22(6):13-15. |
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| Authors: | CAO Jian-yun |
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| Abstract: | In this paper,a neural network internal model control scheme was studied,which was based on the design of inverse system.By the adoption of Radial Basis Function Neural Network(RBFNN) approaching the inverse model,the compound system comprising inverse and original systems was linearised,then the internal model control method could be adopted.In the end,by the model of Magnetic Levitation System,a lot of simulations were completed,which proved favorable effect of the control scheme. |
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| Keywords: | Nonlinear system inverse system Internal model control |
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