Fast state estimation subject to random data loss in discrete-time nonlinear stochastic systems
Document Type
Article
Publication Date
12-1-2013
Publication Title
International Journal of Control
Volume
86
Issue
12
First Page
2302
Keywords
Discrete-time nonlinear stochastic systems, Networked systems, Observer design, Random data loss
Last Page
2314
Abstract
This paper focuses on the design of the standard observer in discrete-time nonlinear stochastic systems subject to random data loss. By the assumption that the system response is incrementally bounded, two sufficient conditions are subsequently derived that guarantee exponential mean-square stability and fast convergence of the estimation error for the problem at hand. An efficient algorithm is also presented to obtain the observer gain. Finally, the proposed methodology is employed for monitoring the ContinuousStirred Tank Reactor (CSTR) via a wireless communication network. The effectiveness of the designed observer is extensively assessed by using an experimental tested-bed that has been fabricated for performance evaluation of the over wireless-network estimation techniques under realistic radio channel conditions. © 2013 Taylor & Francis.
DOI
10.1080/00207179.2013.811753
ISSN
00207179
E-ISSN
13665820
Recommended Citation
Mahdi Alavi, S. M. and Saif, Mehrdad. (2013). Fast state estimation subject to random data loss in discrete-time nonlinear stochastic systems. International Journal of Control, 86 (12), 2302-2314.
https://scholar.uwindsor.ca/electricalengpub/322