We address distributed estimation of the state of a linear plant by a set of agents. The problem is cast in a setting where the communication capabilities of an agent might be deactivated from time to time, due to failures in the communication devices or malicious attacks. An observer architecture is proposed to achieve our estimation goal, based on a multi-hop subspace decomposition. Uniform exponential convergence to zero of the estimation errors is proven in the presence of communication failures, under a persistence of excitation assumption. Finally, the observer performance is evaluated in simulation, showing the merits of the proposed method and suggesting directions for future developments.
Results on distributed state estimation for LTI systems facing communication failures / del Nozal, A. R.; Orihuela, L.; Millan, P.; Seuret, A.; Zaccarian, L.. - 53:2(2020), pp. 3248-3253. (Intervento presentato al convegno 21st IFAC World Congress 2020 tenutosi a Germany nel 2020) [10.1016/j.ifacol.2020.12.1125].
Results on distributed state estimation for LTI systems facing communication failures
Zaccarian L.
2020-01-01
Abstract
We address distributed estimation of the state of a linear plant by a set of agents. The problem is cast in a setting where the communication capabilities of an agent might be deactivated from time to time, due to failures in the communication devices or malicious attacks. An observer architecture is proposed to achieve our estimation goal, based on a multi-hop subspace decomposition. Uniform exponential convergence to zero of the estimation errors is proven in the presence of communication failures, under a persistence of excitation assumption. Finally, the observer performance is evaluated in simulation, showing the merits of the proposed method and suggesting directions for future developments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
