| 有界动态随机系统的观测器设计(英文) |
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| 作者姓名： | 沈岭 王宏 岳红 |
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| 作者单位： | 中国科学院自动化研究所, 北京 100080 |
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| 摘 要： | 提出了用于有界动态随机系统的状态观测器设计方法.首先利用平方根B样条逼近系统的输出概率密度函数来构造残差,同时利用李亚普诺夫函数方法得到观测器增益的自适应调节规律,然后提出了新的对数B样条逼近模型并设计了新的自适应观测器,两个仿真例子表明了方法的有效性
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| 关 键 词： | 观测器 自适应调节规律 残差信号 B样条模型 |
| 收稿时间： | 2004-06-23 |
| 修稿时间： | 2004-08-06 |
Adaptive Observer Design for Bounded Dynamic Stochastic Systems |
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| Authors: | SHEN Ling WANG Hong YUE Hong |
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| Institution: | Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China |
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| Abstract: | This paper considers the state observation problem for bounded dynamic stochastic systems by using B-spline model to approximate output probability density functions. First, a form of residual signal is considered for the output probability density function using square root B-spline neural network model, and the on-line tuning of the observer gain is obtained using Lyapunov analysis. Then a new logarithm B-spline model is presented and the adaptive observer is designed. Finally, two simulated examples are used to demonstrate the proposed algorithms, and desired results have been obtained. |
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| Keywords: | observer adaptive updat ing rule residual signal B-spline model |
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