| 有界动态随机系统的观测器设计 |
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| 引用本文： | 沈岭,王宏,岳红.有界动态随机系统的观测器设计[J].中国科学院研究生院学报,2005,22(4):480-487. |
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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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| 基金项目： | supported by the National Natural Science Foundation of China(60128303) |
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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 |
| 文章编号： | 1002-1175(2005)04-0480-08 |
| 修稿时间： | 2004年6月23日 |
Adaptive Observer Design for Bounded Dynamic Stochastic Systems |
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| SHEN Ling,WANG Hong,YUE Hong.Adaptive Observer Design for Bounded Dynamic Stochastic Systems[J].Journal of the Graduate School of the Chinese Academy of Sciences,2005,22(4):480-487. |
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| Authors: | SHEN Ling WANG Hong YUE Hong |
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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 updating rule residual signal B-spline model |
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