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|Title:||Adaptive sampling for real-time control based on sampling urgency||Authors:||Chen, P.C.Y.
|Issue Date:||2009||Citation:||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|
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