Using a setting in which the input is communicated among neighbors (without exchanging any distributed observer variables), the problem of synchronizing an acyclic network of linear uncertain agents has been formulated recently as a distributed model reference adaptive control (MRAC) where each agent tries to converge to the model defined by its neighbors. In this work we show how to parametrize the distributed MRAC in cyclic and undirected graphs.
|Publication status||Published - 2018|
|Event||7th IFAC Workshop on Distributed Estimation and Control in Networked|
Systems - Groningen, Netherlands
Duration: 27 Aug 2018 → 28 Aug 2018
- adaptive control
- Adaptive synchronization
- heterogeneous uncertain agents