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Adaptive Observer Design for Bounded Dynamic Stochastic Systems
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.
Authors:SHEN Ling  WANG Hong  YUE Hong
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.
Keywords:observer  adaptive updating rule  residual signal  B-spline model
Affiliation in Chinese:中国科学院自动化研究所,北京,100080