Results 181 to 190 of about 202,753 (224)

3-D Temperature Field Reconstruction for a Lithium-Ion Battery Pack: A Distributed Kalman Filtering Approach

IEEE Transactions on Control Systems Technology, 2019
Despite the ever-increasing use across different sectors, the lithium-ion batteries (LiBs) have continually seen serious concerns over their thermal vulnerability.
Ning Tian, H. Fang, Yebin Wang
semanticscholar   +1 more source

Distributed Kalman Filtering With Adaptive Communication

IEEE Control Systems Letters
This work proposes an adaptive event-triggered communication framework for distributed state estimation in sensor networks, enabling each node to self-adapt its transmission rule while maintaining a desired average rate and complying with an upper bound on individual transmission rates.
Daniela Selvi, Giorgio Battistelli
openaire   +2 more sources

Real‐time Kalman filtering based on distributed measurements

International Journal of Robust and Nonlinear Control, 2012
SUMMARYA kind of real‐time Kalman filtering problem is discussed for systems with distributed multichannel measurements. Recursive filters are presented for two cases with correlated and uncorrelated measurement noises. An optimal algorithm is constructed using projection theory in Hilbert space according to a first‐come‐first‐served scheme.
Lam, J, Cui, P, Zhang, H, Ma, L
openaire   +2 more sources

Distributed Kalman Filter with Embedded Consensus Filters

Proceedings of the 44th IEEE Conference on Decision and Control, 2006
The problem of distributed Kalman filtering (DKF) for sensor networks is one of the most fundamental distributed estimation problems for scalable sensor fusion. This paper addresses the DKF problem by reducing it to two separate dynamic consensus problems in terms of weighted measurements and inverse-covariance matrices.
openaire   +1 more source

Convergence results in distributed Kalman filtering

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In particular, it is shown that, in a weakly connected communication network, there exist (randomized) gossip based information dissemination schemes leading to a stochastically bounded ...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jose M. F. Moura   +3 more
openaire   +1 more source

Scalable distributed Kalman filtering through consensus

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
Kalman filtering is a classical technique with a number of potential distributed applications in sensor networks. In this paper we consider a specific algorithm for distributed Kalman filtering proposed recently by Olfati-Saber [Olfati-Saber, 2005 ].
Shrut Kirti, Anna Scaglione
openaire   +1 more source

Optimal distributed Kalman filtering fusion for multirate multisensor dynamic systems with correlated noise and unreliable measurements

IET Signal Processing, 2018
An optimal distributed fusion estimation problem is concerned in this study for a kind of linear dynamic multirate sensors systems with correlated noise and stochastic unreliable measurements.
Liping Yan, Lu Jiang, Jun Liu, Yuanqing Xia, M. Fu   +4 more
semanticscholar   +1 more source

Stability of distributed extended Kalman filters

2017 22nd International Conference on Digital Signal Processing (DSP), 2017
The need for faster and more robust parameter estimates in the smart grid, together with the growth in multi-sensor distributed measurements has motivated the development of distributed extended Kalman filtering (EKF) algorithms. However, fundamental theoretical insights about the convergence and stability of these distributed extended Kalman filtering
Sithan Kanna, Danilo P. Mandic
openaire   +1 more source

Consensus optimization approach for distributed Kalman filtering: Performance recovery of centralized filtering

at - Automatisierungstechnik, 2023
Kunhee Ryu, J. Back
semanticscholar   +1 more source

A distributed maximum correntropy Kalman filter

Signal Processing, 2019
Abstract Most distributed Kalman filters are based on the cost function of the well-known minimum mean square estimation criterion, which performs well in the presence of Gaussian noise. When impulsive noise is involved, the performance of distributed Kalman filters may become worse.
Gang Wang, Rui Xue, Jinxin Wang
openaire   +1 more source