| 仿射非线性系统的在线自适应模糊神经网络辨识与控制 |
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| 引用本文： | 李晓秀,刘国荣,沈细群.仿射非线性系统的在线自适应模糊神经网络辨识与控制[J].湖南大学学报(自然科学版),2006,33(4):64-67. |
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| 作者姓名： | 李晓秀 刘国荣 沈细群 |
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| 作者单位： | 1. 湖南工程学院,电气与信息工程系,湖南,湘潭,411101
2. 湖南工程学院,电气与信息工程系,湖南,湘潭,411101;湖南大学,电气与信息工程学院,湖南,长沙,410082 |
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| 基金项目： | 湖南省自然科学基金资助项目(01JJY2062) |
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| 摘 要： | 针对单输入单输出非线性系统的自适应控制问题,提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法.该方法首先利用广义模糊神经网络学习算法,实时建立对象模型未知系统的逆动态模型,实现网络结构和参数的同时在线自适应.考虑到网络建模误差和外部干扰的存在,还设计了基于控制理论的鲁棒补偿器.仿真结果表明,该方法能对模型未知仿射非线性系统实现鲁棒输出跟踪.
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| 关 键 词： | 模糊神经网络 自适应 鲁棒控制 仿射非线性系统 |
| 文章编号： | 1000-2472（2006）04-0064-04 |
| 收稿时间： | 03 12 2006 12:00AM |
| 修稿时间： | 2006-03-12 |
Online Adaptive Fuzzy Neural Network Identification and Control for the Affine Nonlinear Systems |
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| LI Xiao-xiu,LIU Guo-rong,SHEN Xi-qun.Online Adaptive Fuzzy Neural Network Identification and Control for the Affine Nonlinear Systems[J].Journal of Hunan University(Naturnal Science),2006,33(4):64-67. |
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| Authors: | LI Xiao-xiu LIU Guo-rong SHEN Xi-qun |
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| Institution: | 1.Dept of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan 411101 ,China; 2. College of Electrical and Information Engineering, Hunan Univ, Changsha, Hunan 410082, China |
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| Abstract: | An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.First,the generalized fuzzy neural network(G-FNN) learning algorithm was used to model the unknown system inverse dynamics real-time so that the network structure and parameters could be self-adaptive simultaneously.Then,due to the existences of G-FNN modeling error and external disturbance,a robust compensator was designed based on control theory.Simulation results showed that the proposed approach could achieve the robust tracking of the unknown nonlinear system. |
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| Keywords: | fuzzy neural network adaptive robust control affine nonlinear systems |
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