Stochastic link activation for distributed filtering under sensor power constraint
We consider the problem of link activation for distributed estimation with power constraint. To
satisfy the requirement of power consumption, we propose a stochastic link activation …
satisfy the requirement of power consumption, we propose a stochastic link activation …
Stochastic sensor activation for distributed state estimation over a sensor network
We consider distributed state estimation over a resource-limited wireless sensor network. A
stochastic sensor activation scheme is introduced to reduce the sensor energy consumption …
stochastic sensor activation scheme is introduced to reduce the sensor energy consumption …
Distributed consensus filtering for discrete-time nonlinear systems with non-Gaussian noise
W Li, Y Jia - Signal Processing, 2012 - Elsevier
This paper studies the problem of distributed estimation for a class of discrete-time nonlinear
non-Gaussian systems in a not fully connected sensor network environment. The non …
non-Gaussian systems in a not fully connected sensor network environment. The non …
Convergence analysis on multi-AUV systems with leader-follower architecture
In multi-autonomous underwater vehicle (multi-AUV) systems, the convergence rate is
characterized by the pace of consistency of the key state information for each member. The …
characterized by the pace of consistency of the key state information for each member. The …
Study on the early warning mechanism for real-time monitored structural responses of a historical timber building
J Wang, H Chen, X Du - Measurement, 2020 - Elsevier
Abstract Structural Health Monitoring (SHM) is of great importance for the preventive
protection of historical buildings. Real-time monitoring and early warning of the structural …
protection of historical buildings. Real-time monitoring and early warning of the structural …
Consensus-based cubature information filtering for sensor networks with incomplete measurements
J Liu, Q Shao, C Hua - Neurocomputing, 2019 - Elsevier
Consensus-based distributed filtering is an effective technique for state estimation or data
fusion over sensor networks. However, nonlinearity of systems as well as network-induced …
fusion over sensor networks. However, nonlinearity of systems as well as network-induced …
Attack detection based on invariant state set for SDN-enabled vehicle platoon control system
M Zhou, L Han, H Lu, C Fu, Y Qian - Vehicular Communications, 2022 - Elsevier
The characteristics of physical constraints and widespread communication of vehicle
platoon system render it vulnerable to physical intrusion or cyber attacks. To enhance the …
platoon system render it vulnerable to physical intrusion or cyber attacks. To enhance the …
Adaptive process control and sensor fusion for process analytical technology
N O'Mahony, T Murphy, K Panduru… - 2016 27th Irish …, 2016 - ieeexplore.ieee.org
Increased globalisation and competition are drivers for process analytical technologies
(PAT) that enable seamless process control, greater flexibility and cost efficiency in the …
(PAT) that enable seamless process control, greater flexibility and cost efficiency in the …
Robust distributed model predictive consensus of discrete-time multi-agent systems: a self-triggered approach
J Li, Q Wang, Y Su, C Sun - Frontiers of Information Technology & …, 2021 - Springer
This study investigates the consensus problem of a nonlinear discrete-time multi-agent
system (MAS) under bounded additive disturbances. We propose a self-triggered robust …
system (MAS) under bounded additive disturbances. We propose a self-triggered robust …
Optimal consensus-based distributed estimation with intermittent communication
W Yang, X Wang, H Shi - International Journal of Systems Science, 2011 - Taylor & Francis
In this article, we consider the problem of distributed state estimation over a wireless sensor
network (WSN). We firstly propose a distributed algorithm to estimate the state of a system by …
network (WSN). We firstly propose a distributed algorithm to estimate the state of a system by …