EconPapers    
Economics at your fingertips  
 

Filtering for Discrete-Time Stochastic Systems with Nonlinear Sensor and Time-Varying Delay

Mingang Hua, Pei Cheng, Juntao Fei, Jianyong Zhang and Junfeng Chen

International Journal of Stochastic Analysis, 2013, vol. 2013, 1-9

Abstract:

The filtering problem for a class of discrete-time stochastic systems with nonlinear sensor and time-varying delay is investigated. By using the Lyapunov stability theory, sufficient conditions are proposed to guarantee the asymptotical stablity with an prescribe performance level of the filtering error systems. These conditions are dependent on the lower and upper bounds of the discrete time-varying delays and are obtained in terms of a linear matrix inequality (LMI). Finally, two numerical examples are provided to illustrate the effectiveness of the proposed methods.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/IJSA/2013/306707.pdf (application/pdf)
http://downloads.hindawi.com/journals/IJSA/2013/306707.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnijsa:306707

DOI: 10.1155/2013/306707

Access Statistics for this article

More articles in International Journal of Stochastic Analysis from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().

 
Page updated 2025-03-19
Handle: RePEc:hin:jnijsa:306707