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| 基于自适应神经模糊推理系统的非线性系统辨识 | |
| 引用本文： | 侯志祥,申群太,李河清.基于自适应神经模糊推理系统的非线性系统辨识[J].系统工程与电子技术,2005,27(1):108-110. |
| 作者姓名： | 侯志祥 申群太 李河清 |
| 作者单位： | 1. 中南大学信息科学与工程学院,湖南,长沙,410083;长沙交通学院汽车与机电工程系,湖南,长沙,410076 2. 中南大学信息科学与工程学院,湖南,长沙,410083 3. 长沙交通学院汽车与机电工程系,湖南,长沙,410076 |
| 摘 要： | 针对非线性系统辨识方法中偶然性大,精度不高,收敛速度慢,训练过程时间长的问题,提出一种基于自适应神经模糊推理系统的非线性系统辨识方法,利用模糊推理系统使规则结构化及神经网络具有很强的泛化能力相结合,具有以任意精度逼近任何线性或非线性函数的特点。对非线性系统进行辨识,仿真结果表明,ANFIS进行非线性系统辨识是可行的,其辨识精度很高。 |
| 关 键 词： | 自适应神经模糊推理系统 非线性系统 辨识 |
| 文章编号： | 1001-506X(2005)01-0108-03 |
| 修稿时间： | 2003年12月11 |
Nonlinear system identification based on ANFIS |
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| HOU Zhi-xiang.Nonlinear system identification based on ANFIS[J].System Engineering and Electronics,2005,27(1):108-110. | |
| Authors: | HOU Zhi-xiang |
| Institution: | HOU Zhi-xiang~ |
| Abstract: | System identification is the basis of designing of control system, it is very difficulty to identify the nonlinear system: A fuzzy identification model had been provided in reference 1, the identification method using neural networks had been provided in reference 2, in this paper, by pointing out the disadvantages of those methods and the identification method based adaptive neural-fuzzy inference is provided, the simulation results show that ANFIS is very effective to identify the nonlinear system and its accurate is very high. |
| Keywords: | ANFIS nonlinear system identification |
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