| Robust adaptive fuzzy control scheme for nonlinear system with uncertainty |
| |
| 作者姓名： | Mingjun ZHANG Huaguang ZHANG |
| |
| 作者单位： | [1]School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, China [2]Department of electrical Engineering, Beihua University Jilin Jilin 132021, China |
| |
| 基金项目： | This work was supported by the National Natural Science Foundation of China （No.60325311, 60534010, 60572070）, the Foundation for Doctoral Special Branch by the Ministry of Education of China （20011045023） and Shenyang City Science Foundation （1022033-1-07）. |
| |
| 摘 要： | In this paper, a robust adaptive fuzzy control scheme for a class of nonlinear system with uncertainty is proposed. First, using prior knowledge about the plant we obtain a fuzzy model, which is called the generalized fuzzy hyperbolic model （GFHM）. Secondly, for the case that the states of the system are not available an observer is designed and a robust adaptive fuzzy output feedback control scheme is developed. The overall control system guarantees that the tracking error converges to a small neighborhood of origin and that all signals involved are uniformly bounded. The main advantages of the proposed control scheme are that the human knowledge about the plant under control can be used to design the controller and only one parameter in the adaptive mechanism needs to be on-line adjusted.
|
| 关 键 词： | 模糊控制 非线性系统 广义模糊双曲线系统 自适应控制 |
| 收稿时间： | 9/2/2005 12:00:00 AM |
| 修稿时间： | 2006-04-17 |
Robust adaptive fuzzy control scheme for nonlinear system with uncertainty |
| |
| Mingjun ZHANG,Huaguang ZHANG.Robust adaptive fuzzy control scheme for nonlinear system with uncertainty[J].Journal of Control Theory and Applications,2006,4(3):209-216. |
| |
| Authors: | Mingjun ZHANG Huaguang ZHANG |
| |
| Affiliation: | 1. School of Information Science and Engineering,Northeastern University,Shenyang Liaoning 110004,China;Department of electrical Engineering,Beihua University,Jilin Jilin 132021,China
2. Department of electrical Engineering,Beihua University,Jilin Jilin 132021,China |
| |
| Abstract: | In this paper, a robust adaptive fuzzy control scheme for a class of nonlinear system with uncertainty is proposed. First, using prior knowledge about the plant we obtain a fuzzy model, which is called the generalized fuzzy hyperbolic model (GFHM). Secondly, for the case that the states of the system are not available an observer is designed and a robust adaptive fuzzy output feedback control scheme is developed. The overall control system guarantees that the tracking error converges to a small neighborhood of origin and that all signals involved are uniformly bounded. The main advantages of the proposed control scheme are that the human knowledge about the plant under control can be used to design the controller and only one parameter in the adaptive mechanism needs to be on-line adjusted. |
| |
| Keywords: | Fuzzy control Nonlinear systems Generalized fuzzy hyperbolic model Adaptive control Observer |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
| 点击此处可从《控制理论与应用(英文版)》浏览原始摘要信息 |
|
点击此处可从《控制理论与应用(英文版)》下载全文 |
