| 一种新的自适应状态观测器设计方法 |
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| 引用本文： | 周露,闻新.一种新的自适应状态观测器设计方法[J].北京师范大学学报(自然科学版),1998,34(4):468-471. |
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| 作者姓名： | 周露 闻新 |
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| 作者单位： | [1]北京师范大学数学系 [2]北京航空航天大学自动控制系 |
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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： | 模糊神经网络 状态观测器 FRBNS 自适应控制 |
A NEW APPROACH OF ADAPTIVE OBSERVER DESIGN |
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| Zhou Lu,Wen Xin.A NEW APPROACH OF ADAPTIVE OBSERVER DESIGN[J].Journal of Beijing Normal University(Natural Science),1998,34(4):468-471. |
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| Authors: | Zhou Lu Wen Xin |
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| Abstract: | Radial Gaussian function networks based fuzzy systems is applied to the state estimation of nonlinear time-varying system. 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 nonliear state observer can observe real systems state statisfactorily. |
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| Keywords: | state estimation fuzzy neural networks Gaussian function nonliear system-time dependance |
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