| 基于模糊CMAC神经网络的过程辨识与优化 |
| |
| 引用本文： | 李丽娜,侯朝桢.基于模糊CMAC神经网络的过程辨识与优化[J].系统工程与电子技术,2003,25(9):1126-1128. |
| |
| 作者姓名： | 李丽娜 侯朝桢 |
| |
| 作者单位： | 北京理工大学自动控制系,北京,100081 |
| |
| 摘 要： | 提出一种利用FCMAC(fuzzy cerebellar model articulation controller)神经网络进行工业过程的辨识和稳态优化方法。利用FCMAC神经网络的优点,基于系统的动态信息,在不干扰系统正常运行的情况下获得当前时刻下系统的稳态模型,并在此模型的基础上,对系统进行稳态优化。仿真结果证明了该方法的有效性与优越性。
|
| 关 键 词： | FCMAC神经网络 动态辨识 稳态辨识 稳态优化 |
| 文章编号： | 1001-506X(2003)09-1126-03 |
| 修稿时间： | 2002年5月16日 |
Identification and Optimization Based on FCMAC Neural Network |
| |
| LI Li-na,HOU Chao-zhen.Identification and Optimization Based on FCMAC Neural Network[J].System Engineering and Electronics,2003,25(9):1126-1128. |
| |
| Authors: | LI Li-na HOU Chao-zhen |
| |
| Abstract: | A kind of identification and steady-state optimization method for industrial process based on FCMAC (fuzzy cerebellar model articulation controller) neural network is proposed. The method makes use of the advantage of FCMAC neural network and considers dynamic information of system to obtain steady-state model without interfering formal operating of system. Based on the model, the steady-state of system is optimized. The result of simulation proves the effectivity and superiority of the method. |
| |
| Keywords: | FCMAC neural network Dynamic-state identification Steady-state identification Steady-state optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
