Attack-resilient event-triggered formation control of multi-agent systems under periodic DoS attacks using complex Laplacian
J Wang, J Gao, P Wu - ISA transactions, 2022 - Elsevier
This paper concentrates on attack-resilient event-triggered formation control of multi-agent
systems (MASs) under periodic Denial-of-Service (DoS) attacks, which involves a new …
systems (MASs) under periodic Denial-of-Service (DoS) attacks, which involves a new …
Convolutional neural network based automatic detection of visible faults in a photovoltaic module
NV Sridharan, V Sugumaran - Energy Sources, Part A: Recovery …, 2021 - Taylor & Francis
ABSTRACT Background/Objective: The primary objective of the present study is to
distinguish several visual faults which hinder the performance, reliability and lifetime of …
distinguish several visual faults which hinder the performance, reliability and lifetime of …
Smart grid communication: Recent trends and challenges
Thecomplexity of power distribution network is increasing day by day with rapid increase in
power demand. For monitoring and control of this complex power network, application of …
power demand. For monitoring and control of this complex power network, application of …
The MAS4AI framework for human-centered agile and smart manufacturing
Volatility and uncertainty of today's value chains along with the market's demands for low-
batch customized products mandate production systems to become smarter and more …
batch customized products mandate production systems to become smarter and more …
Converging IoT protocols for the data integration of automation systems in the electrical industry
S Gil, GD Zapata-Madrigal, R García-Sierra… - Journal of Electrical …, 2022 - Springer
Abstract The Internet of Things (IoT) plays an important role in the development of
applications for the Electrical Industry. The data has become essential for the technological …
applications for the Electrical Industry. The data has become essential for the technological …
A hybrid machine learning and meta‐heuristic algorithm based service restoration scheme for radial power distribution system
Summary In‐service Restoration (SR), the healthy section of the feeder can be re‐energized
by finding the optimal path for power flow. Through conventional methods which are mainly …
by finding the optimal path for power flow. Through conventional methods which are mainly …
Deep learning-based ensemble model for classification of photovoltaic module visual faults
NV Sridharan, V Sugumaran - Energy Sources, Part A: Recovery …, 2022 - Taylor & Francis
Fault occurrences in photovoltaic (PV) modules can hinder the performance of the system,
resulting in reduced lifetime and performance of the modules. PV module (PVM) faults if …
resulting in reduced lifetime and performance of the modules. PV module (PVM) faults if …
Model-based diagnosis of multi-agent systems: A survey
As systems involving multiple agents are increasingly deployed, there is a growing need to
diagnose failures in such systems. Model-Based Diagnosis (MBD) is a well-known AI …
diagnose failures in such systems. Model-Based Diagnosis (MBD) is a well-known AI …
Consensus problem and formation control for heterogeneous multi-agent systems with switching topologies
C Wang, J Wang, P Wu, J Gao - Electronics, 2022 - mdpi.com
The cooperative control problem of discrete-time multi-agent systems (MASs) is discussed,
and bounded uncertain time-delays and directed switching topologies are considered. By …
and bounded uncertain time-delays and directed switching topologies are considered. By …
Edge Device Fault Probability Based Intelligent Calculations for Fault Probability of Smart Systems
S Li, T Cui, W Viriyasitavat - Tsinghua Science and Technology, 2024 - ieeexplore.ieee.org
In a smart system, the faults of edge devices directly impact the system's overall fault.
Further, complexity arises when different edge devices provide varying fault data. To study …
Further, complexity arises when different edge devices provide varying fault data. To study …