| 基于神经元网络多模型自适应控制 |
| |
| 引用本文： | 赵四化. 基于神经元网络多模型自适应控制[J]. 四川理工学院学报(自然科学版), 1994, 0(3) |
| |
| 作者姓名： | 赵四化 |
| |
| 作者单位： | 四川轻化工学院电子工程系 |
| |
| 摘 要： | 多模型自适应控制（ＭＭＡＣ，Ｍｕｌｔｉ—ＭｏｄｅｌＡｄａｐｔｉｖｅＣｏｎｔｒｏｌ）是一种离线设计和在线识别与决策的新方法，它将有限多个简单控制联结成一种从总体上具有大范围的鲁棒控制。利用神经元网络对被控系统模型进行识别的思想，构成神经元网络的多模型自适应控制。
|
| 关 键 词： | 神经元网络；多模型自适应控制；模式识别 |
A MULTI-MODEL ADAPTIVE CONTORL BASED ON NEURAL NETWORK |
| |
| Zhao Sihua. A MULTI-MODEL ADAPTIVE CONTORL BASED ON NEURAL NETWORK[J]. Journal of Sichuan University of Science & Engineering(Natural Science Editton), 1994, 0(3) |
| |
| Authors: | Zhao Sihua |
| |
| Affiliation: | Dept of Electronic Eng. Sichuan Institute of Light Ind. & Chem. Tech. Zigong 643033 |
| |
| Abstract: | A Multi-Model Adaptive Control (MMAC) is a new method of combining off-line design with on-line pattern recognition and descision.It puts a definite number of simple controllers into a control of the whole robustness over wide area.Moreover, the Multi-Model Adaptive Control based on neural network is constructed by using neural network to recognize the models of controlled system. |
| |
| Keywords: | nnural neuwork MMAC pattern recognition |
| 本文献已被 CNKI 等数据库收录！ |
