Multi-sensor filtering fusion meets censored measurements under a constrained network environment: Advances, challenges and prospects
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
Multi-sensor multi-rate fusion estimation for networked systems: Advances and perspectives
In industrial systems, the multi-rate sampling strategy has been widely used due to the
advantage in balancing cost and performance as well as the psychical characteristics of the …
advantage in balancing cost and performance as well as the psychical characteristics of the …
Distributed set-membership filtering for multirate systems under the round-robin scheduling over sensor networks
In this paper, the distributed set-membership filtering problem is dealt with for a class of time-
varying multirate systems in sensor networks with the communication protocol. For relieving …
varying multirate systems in sensor networks with the communication protocol. For relieving …
ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis
Tanh is a sigmoidal activation function that suffers from vanishing gradient problem, so
researchers have proposed some alternative functions including rectified linear unit (ReLU) …
researchers have proposed some alternative functions including rectified linear unit (ReLU) …
A novel particle swarm optimization approach for patient clustering from emergency departments
In this paper, a novel particle swarm optimization (PSO) algorithm is proposed in order to
improve the accuracy of traditional clustering approaches with applications in analyzing real …
improve the accuracy of traditional clustering approaches with applications in analyzing real …
Domain generalization in rotating machinery fault diagnostics using deep neural networks
The past years have witnessed the successful development of intelligent machinery fault
diagnostic methods. Besides the basic data-driven fault diagnosis tasks where the training …
diagnostic methods. Besides the basic data-driven fault diagnosis tasks where the training …
Outlier-resistant recursive security filtering for multirate networked systems under fading measurements and round-robin protocol
J Liu, E Gong, L Zha, X **e… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article investigates the recursive filtering problem with fading measurements and
cyberattacks for multisensor multirate networked systems (MRNSs) the under the round …
cyberattacks for multisensor multirate networked systems (MRNSs) the under the round …
Zonotopic distributed fusion for nonlinear networked systems with bit rate constraint
In this paper, the distributed fusion estimation problem is studied for a class of nonlinear
networked systems subject to unknown-but-bounded (UBB) noises. A bit rate constraint is …
networked systems subject to unknown-but-bounded (UBB) noises. A bit rate constraint is …
Observer-based consensus control for discrete-time multiagent systems with coding–decoding communication protocol
L Wang, Z Wang, G Wei… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, the consensus control problem is investigated for a class of discrete-time
networked multiagent systems (MASs) with the coding-decoding communication protocol …
networked multiagent systems (MASs) with the coding-decoding communication protocol …
Adaptive event-triggered consensus control of linear multi-agent systems with cyber attacks
This paper investigates the adaptive event-triggered consensus control problem for a class
of linear multi-agent systems subject to cyber attacks and communication delays. To …
of linear multi-agent systems subject to cyber attacks and communication delays. To …