| 基于模糊系统的径向高斯网络的自适应状态观测器 |
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| 引用本文： | 闻新,张洪钺,周露. 基于模糊系统的径向高斯网络的自适应状态观测器[J]. 航空学报, 1998, 19(5): 608-611 |
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| 作者姓名： | 闻新 张洪钺 周露 |
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| 作者单位： | 1. 北京航空航天大学自动控制系301 教研室, 北京, 100083;2. 北京师范大学数学系, 北京, 100875 |
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| 摘 要： | 利用模糊系统的径向高斯函数网络对一类非线性时变系统的状态进行了估计。给出了一种递阶自组织在线学习算法，提出了非线性时变系统的自适应状态观测器，并对其结构及特征进行了讨论，仿真结果表明这种自适应状态观测器能很好地观测系统的状态。
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| 关 键 词： | 状态估计 模糊神经网络 高斯函数 非线性系统－时间相关 |
| 收稿时间： | 1997-12-01 |
| 修稿时间： | 1997-12-01 |
ADAPTIVE OBSERVER BASED ON RADIAL BASIS FUNCTION OF FUZZY SYSTEMS |
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| Wen Xin,Zhang Hongyue,Zhou Lu. ADAPTIVE OBSERVER BASED ON RADIAL BASIS FUNCTION OF FUZZY SYSTEMS[J]. Acta Aeronautica et Astronautica Sinica, 1998, 19(5): 608-611 |
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| Authors: | Wen Xin Zhang Hongyue Zhou Lu |
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| Affiliation: | 1. Faculty 301, Beijing University of Aeronautics and Astronautics,Beijing,100083;2. Beijing Normal University,Beijing,100875 |
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| Abstract: | Radial Gaussian function networks based on fuzzy systems is applied to the state estimation of nonlinear time varying systems. A hierarchically structural self organizing learning method is given, and a state estimation method is proposed. The structure and characteristics of the observer are discussed. The results of estimation show that the proposed nonlinear state observer can observe real systems state satisfactorily. |
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| Keywords: | state estimation fuzzy neural networks Gaussian function nonlinear system time dependence |
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