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Electronics
Special Issues
Cooperative Control of Multi-Agent Systems with Communication Constraints
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Cooperative Control of Multi-Agent Systems with Communication Constraints

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 2178

Special Issue Editors

Dr. Lei Shi

E-Mail Website
Guest Editor
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
Interests: multiagent collaborative control; opinion dynamics of social networks; distributed localization of sensor networks
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yi Zhou

E-Mail Website
Guest Editor
School of Artificial Intelligence, Henan University, Zhengzhou 475001, China
Interests: internet of vehicles and intelligent transportation; multi-agent collaborative optimization
Dr. Kang Xu

E-Mail Website
Guest Editor
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Interests: optimal control; multiagent collaborative control; wheel-legged locomotion

Special Issue Information

Dear Colleagues,

Recent years have seen the widespread investigation and application of multi-agent systems (MASs). Multi-agent cooperative control is an important MAS research direction, and has been widely used in fields such as intelligent transportation, UAV formation and satellite formation. Considering that communication between agents is affected by factors such as the environment, hardware conditions and system state, communication constraints between agents are usually inevitable. For example, communication between agents may be subjected to network attacks, resulting in the loss of communication data; communication distances may be too long, resulting in network information delays; communication bandwidths may be limited due to narrow communication channels; and complex working environments may produce large amounts of noise and disturbance. These communication constraints seriously affect the stability and security of system control, bringing great challenges to the research and development of the cooperative control of multi-agent systems.

This Special Issue focuses on the latest research results regarding problems caused by communication constraints (e.g., network attacks, data-dropouts and network delays) in the cooperative control of multi-agent systems. This Special Issue provides a platform to promote interdisciplinary research and to share the latest developments in related fields. We welcome original, high-quality technical papers, as well as state-of-the-art surveys and tutorials.

Topics of interest include, but are not limited to:

(1) Multi-agent cooperative control subject to communication delay, asynchronous communication and noise;

(2) The application of learning in multi-agent cooperative control under network attacks;

(3) Data-driven multi-agent cooperative control under communication constraints;

(4) Intelligent fault-tracing and analysis methods for multi-agent cooperative control under communication constraints;

(5) Input–output constrained multi-agent cooperative control.

Dr. Lei Shi
Prof. Dr. Yi Zhou
Dr. Kang Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multi-agent systems (MASs)
  • cooperative control
  • communication constraints

Published Papers (2 papers)

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19 pages, 1015 KiB  
Article
Flocking Control for Cucker–Smale Model Subject to Denial-of-Service Attacks and Communication Delays
by Xiaoyu Shi, Zhuangzhuang Ma, Weicheng Xie, Yong Yang, Kai Chen and Gen Qiu
Electronics 2023, 12(13), 3000; https://doi.org/10.3390/electronics12133000 - 7 Jul 2023
Viewed by 731
Abstract
This paper examines the flocking control issue of the Cucker–Smale model in the presence of denial-of-service (DoS) attacks and communication delays. In the setting of DoS attacks, the attacker only obstructs the information communication between agents during the activation phases, while it concentrates [...] Read more.
This paper examines the flocking control issue of the Cucker–Smale model in the presence of denial-of-service (DoS) attacks and communication delays. In the setting of DoS attacks, the attacker only obstructs the information communication between agents during the activation phases, while it concentrates on supplying its own energy during the dormancy phases. Furthermore, the communication delays are assumed to be time-varying and heterogeneous. Firstly, a general control input scheme that defends against DoS network attacks and communication delays is constructed. Secondly, on the basis of the presented control input and the properties of graph theory, the flocking control issue is equivalently transformed into a products convergence issue of infinite sub-stochastic matrices. Finally, an algebraic condition is obtained to formulate all the agents that asymptotically achieve the flocking behavior. Moreover, the obtained theoretical results are verified by a numerical example. Full article
(This article belongs to the Special Issue Cooperative Control of Multi-Agent Systems with Communication Constraints)
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19 pages, 2039 KiB  
Article
Neural Network-Based Robust Bipartite Consensus Tracking Control of Multi-Agent System with Compound Uncertainties and Actuator Faults
by Tong Li, Kaiyu Qin, Bing Jiang, Qian Huang, Hui Liu, Boxian Lin and Mengji Shi
Electronics 2023, 12(11), 2524; https://doi.org/10.3390/electronics12112524 - 2 Jun 2023
Cited by 1 | Viewed by 1018
Abstract
This paper addresses the challenging problem of bipartite consensus tracking of multi-agent systems that are subject to compound uncertainties and actuator faults. Specifically, the study considers a leader agent with fractional-order nonlinear dynamics unknown to the followers. In addition, both cooperative and competitive [...] Read more.
This paper addresses the challenging problem of bipartite consensus tracking of multi-agent systems that are subject to compound uncertainties and actuator faults. Specifically, the study considers a leader agent with fractional-order nonlinear dynamics unknown to the followers. In addition, both cooperative and competitive interactions among agents are taken into account. To tackle these issues, the proposed approach employs a fully distributed robust bipartite consensus tracking controller, which integrates a neural network approximator to estimate the uncertainties of the leader and the followers. The adaptive laws of neural network parameters are continuously updated online based on the bipartite consensus tracking error. Furthermore, an adaptive control technique is utilized to generate the fault-tolerant component to mitigate the partial loss caused by actuator effectiveness faults. Compared with the existing works on nonlinear multi-agent systems, we consider the compound uncertainties, actuator faults and cooperative–competition interactions simultaneously. By implementing the proposed control scheme, the robustness of the closed-loop system can be significantly improved. Finally, numerical simulations are performed to validate the effectiveness of the control scheme. Full article
(This article belongs to the Special Issue Cooperative Control of Multi-Agent Systems with Communication Constraints)
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