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)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.
| Item type: | Article |
|---|---|
| ID code: | 37995 |
| 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 Unknown Department |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 29 Feb 2012 10:30 |
| Last modified: | 04 Oct 2012 12:40 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/37995 |
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