Results 11 to 20 of about 3,530,899 (245)

Privacy Preserving Average Consensus [PDF]

open access: yesIEEE Transactions on Automatic Control, 2014
Average consensus is a widely used algorithm for distributed computing and control, where all the agents in the network constantly communicate and update their states in order to achieve an agreement. This approach could result in an undesirable disclosure of information on the initial state of agent i to the other agents.
Yilin Mo, Richard M. Murray
openaire   +5 more sources

Deep Learning-Based Average Consensus [PDF]

open access: yesIEEE Access, 2020
In this study, we analyzed the problem of accelerating the linear average consensus algorithm for complex networks. We propose a data-driven approach to tuning the weights of temporal (i.e., time-varying) networks using deep learning techniques.
Masako Kishida   +3 more
doaj   +2 more sources

Optimal strategies in the average consensus problem [PDF]

open access: yes2007 46th IEEE Conference on Decision and Control, 2007
We prove that for a set of communicating agents to compute the average of their initial positions (average consensus problem), the optimal topology of communication is given by a de Bruijn's graph. Consensus is then reached in a finitely many steps.
J. C. DELVENNE   +2 more
openaire   +7 more sources

Reducing communication overhead for average consensus. [PDF]

open access: yes, 2012
Le consensus de moyenne est un protocole itératif où les nœuds d'un réseau, ayant chacun une estimation initiale, exécutent un algorithme distribué pour calculer la moyenne de ces estimations en utilisant uniquement les communication locales. A chaque itération, les nœuds échangent leurs estimations avec leurs voisins. Ces estimations seront remplacées
El Chamie, Mahmoud   +2 more
core   +6 more sources

A Channel Rendezvous Algorithm for Multi-Unmanned Aerial Vehicle Networks Based on Average Consensus

open access: yesSensors, 2023
Realizing the distributed adaptive network construction of multi-UAV networks is an urgent challenge, as they lack a reliable common control channel and can only maintain a limited sensing range in crowded electromagnetic environments.
Yunlu Wang   +3 more
doaj   +1 more source

Fixed-Time Average Consensus of a Dynamic Event-Triggered Mechanism in a System of Multiple Underactuated Autonomous Underwater Vehicles Based on a Body Frame Spherical Coordinate System

open access: yesJournal of Marine Science and Engineering, 2023
This paper is concerned with the consensus of a system involving multiple underactuated autonomous underwater vehicles (AUVs). Combined with a dynamic event-triggered mechanism and a fixed-time stability theorem, the backstepping average consensus ...
Zhuo Wang   +3 more
doaj   +1 more source

Asymptotic internal model based coordination of a flywheel energy storage matrix system

open access: yesFrontiers in Energy Research, 2022
This paper considers a dual objective distributed coordination problem for a flywheel energy storage matrix system. On one hand, the power output of the entire flywheel energy storage matrix system should track its reference command, which is generated ...
He Cai 
doaj   +1 more source

Distributed Averaging Problems of Agriculture Picking Multi-Robot Systems via Sampled Control

open access: yesFrontiers in Plant Science, 2022
Distributed control of agriculture picking multi-robot systems has been widely used in the field of smart agriculture, this paper aims to explore the distributed averaging problems of agriculture picking multi-robot systems under directed communication ...
Fengying Ma   +4 more
doaj   +1 more source

Randomization and Quantization for Average Consensus [PDF]

open access: yes2018 IEEE Conference on Decision and Control (CDC), 2018
A variety of problems in distributed control involve a networked system of autonomous agents cooperating to carry out some complex task in a decentralized fashion, e.g., orienting a flock of drones, or aggregating data from a network of sensors. Many of these complex tasks reduce to the computation of a global function of values privately held by the ...
Bernadette Charron-Bost   +1 more
openaire   +3 more sources

A Graph Neural Network Based Decentralized Learning Scheme

open access: yesSensors, 2022
As an emerging paradigm considering data privacy and transmission efficiency, decentralized learning aims to acquire a global model using the training data distributed over many user devices.
Huiguo Gao   +3 more
doaj   +1 more source

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