Adaptive observer design for bounded dynamic stochastic systems

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.

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.

ORCID iDs

Yue, H. ORCID: https://orcid.org/0000-0003-2072-6223

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• Item metadata

  Item type:	Article
  ID code:	37995
  Dates:	Date Event 2005 Published
  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:	11 Nov 2024 16:06
  URI:	https://strathprints.strath.ac.uk/id/eprint/37995