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Computation offloading in LEO satellite networks with hybrid cloud and edge computing
Low earth orbit (LEO) satellite networks can break through geographical restrictions and
achieve global wireless coverage, which is an indispensable choice for future mobile …
achieve global wireless coverage, which is an indispensable choice for future mobile …
Optimal dispatching for AC/DC hybrid distribution systems with electric vehicles: application of cloud-edge-device cooperation
Y Su, J Teh, C Chen - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
By taking into account the social behaviors of renewable distributed generations (RDGs)
and electric vehicles (EVs), the multi-operator AC/DC hybrid distribution system (HDS) has …
and electric vehicles (EVs), the multi-operator AC/DC hybrid distribution system (HDS) has …
Hierarchical and distributed energy management framework for AC/DC hybrid distribution systems with massive dispatchable resources
Y Su, J Teh, W Liu - Electric Power Systems Research, 2023 - Elsevier
This study focuses on the AC/DC hybrid distribution system (HDS) where massive
dispatchable resources form community microgrids (CMs), exhibiting distinct power …
dispatchable resources form community microgrids (CMs), exhibiting distinct power …
Joint multi-user computation offloading and data caching for hybrid mobile cloud/edge computing
In this paper, we investigate a hybrid mobile cloud/edge computing system with coexistence
of centralized cloud and mobile edge computing, which enables computation offloading and …
of centralized cloud and mobile edge computing, which enables computation offloading and …
Mobility-aware computation offloading in satellite edge computing networks
Satellite edge computing, as an extension of ground edge computing, is a key technology for
achieving seamless global computing coverage. However, the low earth orbit (LEO) …
achieving seamless global computing coverage. However, the low earth orbit (LEO) …
Distributed optimization of networked marine surface vehicles: A fixed-time estimator-based approach
This paper focuses on the fixed-time consensus problem of the networked marine surface
vehicles (NMSVs) while minimizing the sum of the cost functions. To tackle this complex …
vehicles (NMSVs) while minimizing the sum of the cost functions. To tackle this complex …
Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework
H Wang, Q Liu, C Xu - Neural Networks, 2024 - Elsevier
This paper addresses the predefined-time distributed optimization of nonlinear multi-agent
system using a hierarchical control approach. Considering unknown nonlinear functions and …
system using a hierarchical control approach. Considering unknown nonlinear functions and …
Distributed model predictive control for linear systems under communication noise: Algorithm, theory and implementation
H Li, B **, W Yan - Automatica, 2021 - Elsevier
We study the distributed model predictive control (DMPC) problem for a network of linear
discrete-time subsystems in the presence of stochastic noise among communication …
discrete-time subsystems in the presence of stochastic noise among communication …
Joint task offloading and resource allocation for multihop Industrial Internet of Things
J Xu, B Yang, Y Liu, C Chen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Task offloading in edge computing is important for the Industrial Internet of Things (IIoT) to
implement computation-intensive applications in real time. However, achieving efficient task …
implement computation-intensive applications in real time. However, achieving efficient task …
Distributed time-varying convex optimization with dynamic quantization
In this work, we design a distributed algorithm for time-varying convex optimization over
networks with quantized communications. Each agent has its local time-varying objective …
networks with quantized communications. Each agent has its local time-varying objective …