Shen, L. and Wang, H. and Yue, H. (2005) Adaptive observer design for bounded dynamic stochastic systems. Journal of the Graduate School of the Chinese Academy of Sciences, 22 (4). pp. 480-487.Full text not available in this repository. (Request a copy from the Strathclyde author)
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, Electrical engineering. Electronics Nuclear engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
|Depositing user:||Pure Administrator|
|Date Deposited:||29 Feb 2012 10:30|
|Last modified:||29 Apr 2016 10:53|