By Topic

Moving horizon state estimation for nonlinear systems using quantized data from wireless sensor networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Luo Ji'an ; Inst. of Inf.&control, Hangzhou Dianzi Univ., Hangzhou ; Chai Li ; Jiang Peng

Given several bits of quantized observations, this paper presents the moving horizon state estimation approach based on several quantized data for wireless sensor networks. The current moving horizon strategies for nonlinear discrete-time systems can not deal with quantized measurements since they use the whole information of measurements. The moving horizon method for nonlinear systems proposed in this paper can be applied in wireless sensor networks that the observations should be quantized into several bits. A numerical example demonstrates our algorithms could acquire good performance.

Published in:

Control Conference, 2008. CCC 2008. 27th Chinese

Date of Conference:

16-18 July 2008