Discrete-time distributed average tracking for noisy reference signals

We consider the distributed average tracking (DAT) problem for multiple time-varying signals subject to both process and measurement noise under a directed time-varying communication network. In order to attenuate the effect of the noise, we construct a Kalman filter for each agent, based on which w...

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Bibliographic Details
Published inChinese Control Conference pp. 5405 - 5410
Main Authors Chen, Changjiang, Chen, Fei
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 01.07.2019
Subjects
Automation
Communication networks
Distributed average tracking
Kalman filter
Kalman filters
multi-agent system
noise
Noise measurement
Stability analysis
Steady-state
Time measurement
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Summary:We consider the distributed average tracking (DAT) problem for multiple time-varying signals subject to both process and measurement noise under a directed time-varying communication network. In order to attenuate the effect of the noise, we construct a Kalman filter for each agent, based on which we design a discrete-time consensus-based DAT algorithm. It is shown that the proposed algorithm can track the average of the reference signals with small steady-state error. A numerical example is presented to validate the theoretical results.
ISSN:1934-1768
DOI:10.23919/ChiCC.2019.8865546