Abstract | ||
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A simply structured distributed observer is described for estimating the state of a discrete-time, jointly observable, input-free, linear system whose sensed outputs are distributed across a time-varying network. It is explained how to construct the local estimators which comprise the observer so that their state estimation errors all converge exponentially fast to zero at a fixed, but arbitrarily chosen rate provided the network's graph is strongly connected for all time. This is accomplished by exploiting several well-known properties of invariant subspaces plus several kinds of suitably defined matrix norms. |
Year | DOI | Venue |
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2019 | 10.1109/CDC40024.2019.9030226 | 2019 IEEE 58th Conference on Decision and Control (CDC) |
Keywords | DocType | ISSN |
discrete-time linear system,time-varying network,local estimators,state estimation errors,distributed observer,network graph,defined matrix norms | Conference | 0743-1546 |
ISBN | Citations | PageRank |
978-1-7281-1399-9 | 1 | 0.36 |
References | Authors | |
9 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lili Wang | 1 | 186 | 10.46 |
Ji Liu | 2 | 146 | 26.61 |
A. Stephen Morse | 3 | 4285 | 588.67 |
Brian D. O. Anderson | 4 | 3727 | 471.00 |