Apr 25, 2008 · In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements.
Abstract: In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements.
In this paper we study the problem of designing optimal consensus algorithms for distributed estimation of dynamical systems. In particular, we show that for ...
A second approach to consensus-based distributed Kalman filtering is to use a consensus of measurements instead of states. This method is used to achieve a ...
Missing: strategies. | Show results with:strategies.
May 17, 2007 · In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements.
In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local ...
In particular we study the interaction between the consensus matrix, the number of messages exchanged per sampling time, and the Kalman gain. We prove that ...
Aug 19, 2022 · This paper investigates the distributed Kalman filtering (DKF) from distributed optimization viewpoint. Motivated by the fact.
This paper provides a novel algorithm for distributed Kalman filtering for multiple agents networked by a communication graph topology.
This peer-to-peer distributed estimation method gives rise to two iterative distributed Kalman filtering algorithms with different consensus strategies on ...