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- W3045746634 abstract "We consider a freeway traffic network described by the linearized Aw-Rascle-Zhang (ARZ) model, which can be monitored at the boundaries by a set of sensors. Inspired by the consensus-based distributed filtering for the finite-dimensional systems, an extension to the infinite dimensional case by using Lyapunov techniques is studied. When consensus weights are known, we provide sufficient conditions under which the network model is detectable, i.e. for a specific choice of consensus weights there exists a set of filtering gains such that the dynamics of the estimation errors are exponentially stable for every agent. Some numerical studies provide a further insight on the effects of consensus-based boundary filtering." @default.
- W3045746634 created "2020-08-03" @default.
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- W3045746634 date "2020-07-01" @default.
- W3045746634 modified "2023-09-27" @default.
- W3045746634 title "Distributed Consensus-Based Boundary Observers for Freeway Traffic Estimation with Sensor Networks" @default.
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- W3045746634 doi "https://doi.org/10.23919/acc45564.2020.9147755" @default.
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