Title
Fast State Estimation Subject To Random Data Loss In Discrete-Time Nonlinear Stochastic Systems
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 Continuous Stirred 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.
Year
DOI
Venue
2013
10.1080/00207179.2013.811753
INTERNATIONAL JOURNAL OF CONTROL
Keywords
Field
DocType
discrete-time nonlinear stochastic systems, observer design, random data loss, networked systems
Convergence (routing),Continuous stirred-tank reactor,Mathematical optimization,Wireless,Nonlinear system,Data loss,Control theory,Computer science,Discrete time and continuous time,Observer (quantum physics),Bounded function
Journal
Volume
Issue
ISSN
86
12
0020-7179
Citations 
PageRank 
References 
2
0.39
15
Authors
2
Name
Order
Citations
PageRank
S. M. Mahdi Alavi193.25
Mehrdad Saif233448.75