有界动态随机系统的观测器设计(英文)  

Adaptive Observer Design for Bounded Dynamic Stochastic Systems

作　　者：沈岭[1] 王宏[1] 岳红[1] 

机构地区：[1]中国科学院自动化研究所,北京100080

出　　处：《中国科学院研究生院学报》2005年第4期480-487,共8页Journal of the Graduate School of the Chinese Academy of Sciences

基　　金：supportedbytheNationalNaturalScienceFoundationofChina( 60 12 83 0 3 )

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。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.

关 键 词：观测器 自适应调节规律 残差信号 B样条模型 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]