Scheduling parallel Kalman filters with quantized deadlines

Title: Scheduling parallel Kalman filters with quantized deadlines
Creator: Lu, Shiyuan; Lin, Zhiyun; Zheng, Ronghao; Yan, Gangfeng
Relation: Systems and Control Letters Vol. 86, p. 9-15
Publisher Link: http://dx.doi.org/10.1016/j.sysconle.2015.09.007
Publisher: Elsevier
Resource Type: journal article
Date: 2015
Description: In this paper we explore the problem of scheduling parallel processes of Kalman filters to meet individual estimation error requirements. It is assumed that at each time-step measurements of only one process are received. We define real-time deadlines of transmissions and convert the problem into arranging sequence of tasks with corresponding deadlines. To reduce computations, cycles of transmissions are calculated and virtual processes are introduced into scheduling. A sliding window method is then designed to adjust the processes against real-time disturbances in applications. Compared with algorithms proposed in Lin and Wang (2013), the proposed algorithm is able to schedule a feasible sequence adaptively within a short scheduling window and requires little computation.
Subject: sensor scheduling; Kalman filtering; parallel estimation; periodic observation
Identifier: http://hdl.handle.net/1959.13/1315456
Identifier: uon:22945
Identifier: ISSN:0167-6911
Language: eng
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