A design method for distributed luenberger observers

The paper addresses the problem of designing distributed observers for discrete linear time-invariant (LTI) systems with distributed sensor nodes subjected to bounded measurement noise. A solution is proposed in terms of a distributed LTI Luenberger observer, thus departing from common linear time-varying solutions rooted in consensus-based distributed estimation techniques, and dispensing with the need for the exchange of covariance matrices. It is shown, under the conditions of collective observability, strong connectivity of the sensor communication network, and invertibility of the state transition matrix, that the resulting observer yields ultimate boundedness of the estimation error. A design example is given where the asymptotic performance of the proposed observer is shown to be similar to that obtained using a time-varying distributed Kalman filtering approach.


Published in:
Proceedings of the IEEE 56th Annual Conference on Decision and Control (CDC), 3374-3379
Presented at:
IEEE 56th Annual Conference on Decision and Control (CDC),, Melbourne, VIC, Australia, December, 12-15, 2017
Year:
Jan 23 2018
Publisher:
IEEE
ISBN:
978-1-5090-2873-3
978-1-5090-2872-6
978-1-5090-2874-0
Keywords:
Laboratories:




 Record created 2018-02-07, last modified 2019-03-17

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)