Feb 6, 2019 · This paper presents a unified framework for distributed filtering and control of state-space processes.

This is achieved through distributing the operations of the centralized Kalman filter over the network via embedded average consensus information fusion filters ...

Oct 22, 2024 · This work presents a unified framework for distributed filtering and control of state-space processes. To this end, a distributed Kalman ...

This work presents a unified framework for distributed filtering and control of state-space processes. To this end, a distributed Kalman filtering algorithm ...

This paper provides the essential distributed algorithms and analytical guarantees necessary to establish: a) The DKF problem can be reduced to two dynamic ...

This paper shows that a central Kalman filter for sensor networks can be decomposed into n micro-Kalman filters with inputs that are provided by two types ...

This paper addresses the DKF problem by reducing it to two separate dynamic consensus problems in terms of weighted measurements and inverse-covariance matrices ...

Aug 19, 2022 · This paper investigates the distributed Kalman filtering (DKF) from distributed optimization viewpoint. Motivated by the fact.

This paper addresses the DKF problem by reducing it to two separate dynamic consensus problems in terms of weighted measurements and inverse-covariance matrices ...

Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion. IEEE Transactions on Automatic Control - United States.