Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/59369
Title: Adaptive sampling for real-time control based on sampling urgency
Authors: Chen, P.C.Y. 
Qian, L.
Poo, A.N. 
Keywords: Adaptive sampling
Performance index
Real-time control
Sampling urgency
Issue Date: 2009
Source: Chen, P.C.Y.,Qian, L.,Poo, A.N. (2009). Adaptive sampling for real-time control based on sampling urgency. Control and Intelligent Systems 37 (2) : 61-66. ScholarBank@NUS Repository.
Abstract: We investigate the problem of optimizing the sampling frequency of a real-time control system under the constraint of available computational resource. We propose the novel notion of sampling urgency to indicate the time-dependent importance of sampling frequency, and establish that system performance is directly related to sampling urgency. We then synthesize an adaptive sampling algorithm that varies the sampling frequency on-line according to sampling urgency and show that this adaptive sampling algorithm leads to significant reduction in computation (without sacrificing performance) in a real-time control process.
Source Title: Control and Intelligent Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/59369
ISSN: 14801752
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

34
checked on Dec 7, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.