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A Distributed Event-Triggered Algorithm for Optimal Resource Allocation of Second-Order Multi-Agent Systems

Zhenhua Deng, Lei Wang
2020 IET Control Theory & Applications  
To seek the optimal resource allocation with low communication costs, a distributed algorithm with event-triggered schemes is proposed.  ...  Under the proposed algorithm, the second-order agents exponentially converge to the exact optimal decision of the resource allocation problem, and the burden of communication is reduced effectively.  ...  In this paper, we concentrate on resource allocation problems for second-order multi-agent systems and propose a distributed algorithm with event-triggered communication strategies.  ... 
doi:10.1049/iet-cta.2019.1169 fatcat:3zgwghajkfhofg2kuyfgd3trj4

Uncertain Multi-Agent Systems with Distributed Constrained Optimization Missions and Event-Triggered Communications: Application to Resource Allocation [article]

Mohammad Saeed Sarafraz, Mohammad Saleh Tavazoei
2022 arXiv   pre-print
Via this algorithm, the agents do not need to continuously broadcast their data. It is shown that the proposed algorithm can be useful in solving resource allocation problems.  ...  This paper deals with solving distributed optimization problems with equality constraints by a class of uncertain nonlinear heterogeneous dynamic multi-agent systems.  ...  Distributed optimization with event-triggered communications In this section, a distributed technique for solving an optimization problem with centralized event-triggered communications is introduced.  ... 
arXiv:2004.01685v3 fatcat:oejhhn7dabcxzjv4i3quf3we5q

Energy-Efficient Resource Allocation for NOMA-Enabled Internet of Vehicles

Xin Chen, Zhuo Ma, Teng Ma, Xu Liu, Ying Chen, Yong Zhang
2021 Wireless Communications and Mobile Computing  
An event trigger block is used to reduce computation time.  ...  Firstly, a NOMA-based resource allocation model in IoV is developed to maximize the energy efficiency (EE) of the system.  ...  Resource allocation for IoV system can also be combined with MEC. Chen et al.  ... 
doi:10.1155/2021/7490689 fatcat:bwygsgcopvah5bjkwbrqrmwucy

A Decomposition-Based Development Method for Industrial Control Systems

Jiawen Xiong, Ju Li, Jianqi Shi, Yanhong Huang
2019 IEEE Access  
First, we present a general event-triggered specification language named Industrial Modeling Collaboration Language (IMCL) for modeling ICSs; the language allows describing system functions and physical  ...  In this paper, we propose a decomposition-based development method for distributed ICSs to reduce the difficulty of developing distributed ICSs whose subsystems cooperate with each other.  ...  [25] investigated the problem of event-triggered distributed predictive control for multi-agent systems. Olfati-Saber et al.  ... 
doi:10.1109/access.2019.2927263 fatcat:qeolk63uovb7rhvmkkqfeiuij4

Distributed feedforward control of vehicle dynamics based on event-triggered optimization

Shaban Guma, Naim Bajcinca
2013 2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)  
A fully distributed event-triggered optimization scheme for optimal tire friction force allocation representing the core part of a feedforward control approach is proposed in this work.  ...  A standard projected subgradient algorithm involving consensus has been used for solving the resulting optimization problem.  ...  CONCLUSION In this paper we present a distributed event-triggered optimization algorithm for the optimal allocation of tire adhesion forces.  ... 
doi:10.1109/icat.2013.6684068 dblp:conf/icatech/GumaB13 fatcat:nqewsduxzrh3dgd5y7qtvciu5i

Resources Allocation for Distributed Systems: A Review

Kurdistan Wns HamaAli, Subhi R. M. Zeebaree
2021 Zenodo  
Resource allocation in a distributed system is the process of allocating the workload across multiple resources to optimize the required performance criteria.  ...  in cloud computing, Direction Method of Multipliers (ADMM) algorithm for SDN Networking, FFR algorithm application in cellular network, Fairness-based Distributed Resource Allocation (FDRA) algorithm  ...  Shi et al. (2017) presented distributed optimization under directed topology for resource allocation with event-triggered communication.  ... 
doi:10.5281/zenodo.4462087 fatcat:co2led6hybgmjoeeagghdx3jjq

Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT

Boda Liu, Bin Yang, Jianzhuang Xiao, Dayu Zhu, Binghan Zhang, Zhichen Wang, Miaosi Dong
2021 Sustainability  
for related researchers: How does one combine ICT with the event dynamics or uncertain parameters?  ...  Different dynamic triggering modes have different affinities with real data.  ...  In this example, events are triggered randomly [17, 18] or according to a prepared event schedule [20] , and affect the algorithm directly, without considering the detection and identification of events  ... 
doi:10.3390/su13105478 fatcat:kbte3koxxnbhzlmz4atcgne7ba

Cognitive Radio Resource Management Using Multi-Agent Systems

Jiang Xie, Ivan Howitt, Anita Raja
2007 2007 4th IEEE Consumer Communications and Networking Conference  
We address the distributed constraint optimization problem (DCOP) in cognitive radio networks and study the effectiveness of DCOP algorithms to find the optimal radio resource assignment through communications  ...  This paper investigates cooperative radio resource management for multiple cognitive radio networks in interference environments.  ...  The resource allocation process is triggered every time a new set of event triggers occurs.  ... 
doi:10.1109/ccnc.2007.226 dblp:conf/ccnc/XieHR07 fatcat:r3pc356asjcutnsdge6adyaxjy

Time-triggered Federated Learning over Wireless Networks [article]

Xiaokang Zhou, Yansha Deng, Huiyun Xia, Shaochuan Wu, Mehdi Bennis
2022 arXiv   pre-print
However, traditional FL algorithms are based on an event-triggered aggregation, which suffers from stragglers and communication overhead issues.  ...  To solve this joint optimization problem, we provide a thorough convergence analysis for TT-Fed.  ...  To solve it, we decouple this problem into user selection and resource allocation sub-problems respectively, and then propose an online search algorithm to solve the joint user selection and resource allocation  ... 
arXiv:2204.12426v2 fatcat:bmbczu6d2fgjnokiztstfgjwwu

Table of Contents

2021 IEEE Transactions on Control of Network Systems  
Lucia 168 Distributed Algorithm Design for Resource Allocation Problems of High-Order Multiagent Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Li 269 Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcns.2021.3059178 fatcat:vn4stmvjr5fadpgkuqc5qzzux4

Distributed Finite-Time Privacy-Preserving Optimal Allocation of Test Kits for Controlling Pandemic Spreading [article]

Jakob Nylöf and Apostolos I. Rikos and Sebin Gracy and Karl H. Johansson
2021 arXiv   pre-print
We propose a distributed privacy-preserving optimal resource allocation algorithm with efficient (i.e., quantized) communication over a directed communication network.  ...  In this paper, we analyze the problem of optimally allocating resources in a distributed and privacy-preserving manner.  ...  Thus, there is a need for devising finite-time distributed optimal resource allocation algorithms with privacy-preserving guarantees.  ... 
arXiv:2109.14481v1 fatcat:jodq2y5hojenlpe4yljogwcdcm

Token-based Autonomous Task Allocation in Flocking Systems

András Kőkuti, Vilmos Simon, Bernát Wiandt
2016 Proceedings of the 2016 Federated Conference on Computer Science and Information Systems  
The implementation of a task allocation algorithm could be a serious challenge even in a simulated environment due to the numerous problems arising from the nature of these systems.  ...  The initiator event can be triggered only on one agent, but it uses graph theory solutions to select the most appropriate local auctioneers that do the auctions in a parallel and distributed way.  ...  PROPOSED DISTRIBUTED TASK ALLOCATION ALGORITHM We are investigating the problem of allocating a subset of agents based on local events, such as when a node senses disturbances, hazards, etc. or global  ... 
doi:10.15439/2016f424 dblp:conf/fedcsis/KokutiSW16 fatcat:ig4rph26rzdq7lg73ffo23aejy

REACT: A solidarity-based elastic service resource reallocation strategy for Multi-access Edge Computing

Alisson Medeiros, Torsten Braun, Antonio Di Maio, Augusto Neto
2021 Physical Communication  
., REACT: A solidarity-based elastic service resource reallocation strategy for Multi-access Edge Computing, Physical Communication (2021), doi: https://doi.  ...  The coexistence of many heterogeneous services on the distributed MEC infrastructure makes the resource scarcity problem even more challenging than it already is in traditional networks.  ...  One primary problem with MEC is that it has limited computing and communication resources [9, 10] .  ... 
doi:10.1016/j.phycom.2021.101380 fatcat:gvbd2n3q2rdj5duenp3334clw4

Quality of Service and Quality of Control in real-time control systems

Daniele Fontanelli, Luigi Palopoli
2012 2012 5th International Symposium on Communications, Control and Signal Processing  
As a first step toward a more general theory, results are presented for scalar systems controlled using both a time-triggered and an event-triggered approach.  ...  In this paper, we consider several control loops sharing a common computation or communication resource.  ...  packet size for a communication resource.  ... 
doi:10.1109/isccsp.2012.6217848 dblp:conf/isccsp/FontanelliP12 fatcat:xgjc5mpf7vdzpecsfncwn6z4ve

Distributed event-triggered algorithm for optimal resource allocation of multi-agent systems

Weiyong Yu, Zhenhua Deng, Hongbing Zhou, Xianlin Zeng
2017 Kybernetika (Praha)  
DISTRIBUTED OPTIMIZATION ALGORITHM In this section, we provide a distributed optimization algorithm with event-triggered communication and gradient measurement to cooperatively solve the optimization problem  ...  For (2) , we have the following result. (1) is solved by the distributed algorithm (2) with event-triggered scheme (3) .  ... 
doi:10.14736/kyb-2017-5-0747 fatcat:x6whonganfddjiqskunapludja
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