Results 171 to 180 of about 202,753 (224)

Distributed Kalman Filtering Under Two-Bitrate Periodic Coding Strategies

IEEE Transactions on Automatic Control
This article is concerned with the problem of distributed Kalman filtering over sensor networks under two-bitrate periodic coding strategies. Initially, the optimal estimates for sensor individuals are acquired using the conventional Kalman filter ...
Qinyuan Liu, Zidong Wang, Hongli Dong, Changjun Jiang   +3 more
semanticscholar   +1 more source

Distributed fusion incremental Kalman filter

2018 Chinese Control And Decision Conference (CCDC), 2018
In the actual application process, the impact of the surrounding environment, the error of the observation device, and the improper parameter selection usually yield the system error. The incremental Kalman filter can effectively solve the state estimation problem for the systems under poor observation condition.
Mandi Wang, Guangming Yan, Xiaojun Sun
openaire   +1 more source

A Resilient Distributed Kalman Filtering Under Bidirectional Stealthy Attack

IEEE Signal Processing Letters
False data injection attacks are widely investigated to exploit the cyber-vulnerability of Cyber-Physical System. However, the existing attack policies only consider the cyber-vulnerability in the one-way communication channel.
Wenjie Ding, Wen Yang, Chao Yang, Xiaoqiang Ren, Xiaofan Wang   +4 more
semanticscholar   +1 more source

Distributed Kalman Filter using fast polynomial filter

2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011
Distributed estimation algorithms have received a lot of attention in the past few years, particularly in the fusion framework of Wireless Sensor Network (WSN). Distributed Kalman Filter (DKF) for WSN is one of the most fundamental distributed estimation algorithms for scalable wireless sensor fusion.
A. Abdelgawad, M. Bayoumi
openaire   +1 more source

Distributed Kalman Filtering Over Wireless Sensor Networks in the Presence of Data Packet Drops

IEEE Transactions on Automatic Control, 2019
We study distributed Kalman filtering over the wireless sensor network, where each sensor node is required to locally estimate the state of a linear time-invariant discrete-time system, using its own observations and those transmitted from its neighbors ...
Jianming Zhou, G. Gu, Xiang Chen
semanticscholar   +1 more source

The Hypothesizing Distributed Kalman Filter

2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012
This paper deals with distributed information processing in sensor networks. We propose the Hypothesizing Distributed Kalman Filter that incorporates an assumption of the global measurement model into the distributed estimation process. The procedure is based on the Distributed Kalman Filter and inherits its optimality when the assumption about the ...
Reinhardt, M., Noack, B., Hanebeck, U. D.   +2 more
openaire   +2 more sources

Distributed Kalman filtering for uncertain dynamic systems with state constraints

International Journal of Robust and Nonlinear Control, 2020
This article addresses the distributed state estimation problem for uncertain time‐varying dynamic systems with state constraints over a sensor network. By using a null space method, the distributed state estimation problem for uncertain dynamic systems ...
Xiaoxu Lv, Peihu Duan, Z. Duan
semanticscholar   +1 more source

Proposed Distributed Kalman Filter

2012
In this chapter, the DKF problem is addressed by reducing it into a dynamic consensus problem in term of weighted average estimates matrix that can be viewed as data fusion problem. We have presented a Distributed Kalman Filter based on polynomial filter to accelerate the distributed average consensus in the static network topologies.
Ahmed Abdelgawad, Magdy Bayoumi
openaire   +1 more source

Distributed Kalman filtering for robust state estimation over wireless sensor networks under malicious cyber attacks

Digit. Signal Process., 2018
We consider distributed Kalman filtering for dynamic state estimation over wireless sensor networks. It is promising but challenging when network is under cyber attacks.
Fuxi Wen, Zhongmin Wang
semanticscholar   +1 more source

Distributed Kalman filtering for spatially-invariant diffusion processes: the effect of noise on communication requirements

IEEE Conference on Decision and Control, 2020
This work analyzes the communication requirements of Kalman filters for spatially-invariant diffusion processes with spatially-distributed sensing. In this setting Kalman filters exhibit an inherent degree of spatial localization or decentralization.
Juncal Arbelaiz, Bassam Bamieh, A. Hosoi, A. Jadbabaie   +3 more
semanticscholar   +1 more source