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Methods of Processing Ambiguity in Multi-Agent System

Wang Ziqiang,Feng Boqin

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 72-77

Abstract: Methods of processing ambiguity based on Kripke structures in a multi-agent system is presented.The information states of multi-agent system are represented as a Kripke structures.in the information conveyed by ambiguous sentences, so it is of practical value for researching on multi-agent

Keywords： multi-agent system     ambiguity     processing method     Kripke structure    

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The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System

Zhang Hongwei,Wu Aiguo,Sheng Tao

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 58-62

Abstract:

A VAV system can be treated as a multi-agent system.In this paper, a multi-agent-based distributed intelligent control method is presented to solve the problemof concordance and decoupling in the VAV system.A simulation program of VAV system is set up for control analysis.

Keywords： VAV     agent     multi-agent system     distributed intelligent control    

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Leader-following synchronization of a multi-agent system with heterogeneous delays Research Articles

Branislav Rehák, Volodymyr Lynnyk,rehakb@utia.cas.cz,volodymyr.lynnyk@utia.cas.cz

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000207

Abstract: An algorithm is presented for leader-following synchronization of a composed of linear agents with . The presence of different delays in various agents can cause a synchronization error that does not converge to zero. However, the norm of this error can be bounded and this boundary is presented. The proof of the main results is formulated by means of linear matrix inequalities, and the size of this problem is independent of the number of agents. Results are illustrated through examples, highlighting the fact that the steady error is caused by heterogeneous delays and demonstrating the capability of the proposed algorithm to achieve synchronization up to a certain error.

Keywords： Multi-agent system     Time delay     Linear matrix inequality    

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Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 480-480 doi: 10.1631/FITEE.22e0073

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A Multi-agent Model Based on Cellular Automata for Simulating Human Behavior to Assess Building Design

Fang Weifeng,Yang Lizhong,Huang Rui

Strategic Study of CAE 2003, Volume 5, Issue 3,   Pages 67-71

Abstract: For the advantages of agent in simulating human intelligence, a multi-agent model based on CA is presented

Keywords： Cellular automata model     multi-agent     human behavior     performance-based design    

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Multi-agent differential game based cooperative synchronization control using a data-driven method Research Article

Yu SHI, Yongzhao HUA, Jianglong YU, Xiwang DONG, Zhang REN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1043-1056 doi: 10.1631/FITEE.2200001

Abstract: This paper studies the multi-agent based problem and its application to cooperative .A systematized formulation and analysis method for the multi-agent is proposed and a methodology basedalgorithm using neighboring interactive data is constructed to update the controller without requiring a system

Keywords： Multi-agent system     Differential game     Synchronization control     Data-driven     Reinforcement learning    

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Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents Research Article

Jian ZHAO, Youpeng ZHAO, Weixun WANG, Mingyu YANG, Xunhan HU, Wengang ZHOU, Jianye HAO, Houqiang LI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1032-1042 doi: 10.1631/FITEE.2100594

Abstract: Multi-agent is difficult to apply in practice, partially because of the gap between simulated and real-worldIn this work, we present a formal conceptualization of a cooperative multi-agent system with unexpectedTo enhance the robustness of the system to crashes, we propose a coach-assisted multi-agent frameworkthat introduces a virtual coach agent to adjust the crash rate during training.crash rate, curriculum learning, and adaptive crash rate) and a re-sampling strategy for our coach agent

Keywords： Multi-agent system     Reinforcement learning     Unexpected crashed agents    

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Bipartite asynchronous impulsive tracking consensus for multi-agent systems Research Article

Lingzhong ZHANG, Yuanyuan LI, Jungang LOU, Jianquan LU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1522-1532 doi: 10.1631/FITEE.2100122

Abstract:

In this study, we discuss how (MASs) with a leader can achieve distributed using control strategies. The proposed control approach does not require the impulse to occur simultaneously for all agents. The communication links between neighboring nodes of MASs are antagonistic. When the leader’s control input is non-zero, sufficient conditions are obtained to achieve bipartite tracking in closed-loop MASs. More extensive ranges of effects are discussed, and the designed controller’s feedback can effectively work against adverse impulsive permutation. Simple algebraic conditions for estimating the impulsive gain boundary and interval are presented. Theoretical results are demonstrated with illustrative examples.

Keywords： Bipartite tracking     Multi-agent systems     Asynchronous impulsive     Consensus    

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MAS-based production scheduling system for manufacturing cell-based workshop

CHU Hong-yan, CAO Quan-jun, FEI Ren-yuan

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 375-380 doi: 10.1007/s11465-006-0043-x

Abstract: It is also an important part of the manufacturing system.In this paper, the manufacturing cell-based workshop is described and its scheduling system structureis established based on MAS (multi-agent system) technology.Through the negotiation and communication of each agent, the machining path is determined and the machiningThe scheduling system also can deal with some abnormal conditions, such as machine tool failure and urgent

Keywords： negotiation     selection     multi-agent     communication     abnormal    

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Stability of General Linear Dynamic Multi-Agent Systems under Switching Topologies with Positive Real Article

Shengbo Eben Li, Zhitao Wang, Yang Zheng, Diange Yang, Keyou You

Engineering 2020, Volume 6, Issue 6,   Pages 688-694 doi: 10.1016/j.eng.2020.05.006

Abstract:

The time-varying network topology can significantly affect the stability of multi-agent systems.This paper examines the stability of leader–follower multi-agent systems with general linear dynamicstopology is modeled as a class of directed graphs in order to describe the information exchange between multi-agentare used to design a distributed control law and estimate the convergence speed of the closed-loop systemA sufficient condition is provided for the stability of multi-agent systems under switching topologies

Keywords： Stability     Multi-agent system     Switching topologies     Common Lyapunov function    

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Consensus of multi-agent systems with dynamic join characteristics under impulsive control Research Articles

Xiang Hu, Zufan Zhang, Chuandong Li,huyangyu0203@163.com,zhangzf@cqupt.edu.cn,cdli@swu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000062

Abstract: We study how to achieve the of a whole after adding some new agent groups dynamically in the originalWe analyze the feasibility of dynamically adding agent groups under different forms of network topologies

Keywords： Multi-agent system     Network topology     Impulsive input     Dynamic join characteristics     State consensus    

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Leader-following consensus of second-order nonlinear multi-agent systems subject to disturbances None

Mao-bin LU, Lu LIU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 88-94 doi: 10.1631/FITEE.1800611

Abstract: investigate the leader-following consensus problem of a class of heterogeneous secondorder nonlinear multi-agentWe propose a class of novel distributed control laws, which depends on the relative state of the systemBy Barbalat’s lemma, we demonstrate that consensus of the second-order nonlinear multi-agent system can

Keywords： Multi-agent systems     Leader-following consensus     Distributed control    

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Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered Research Articles

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000034

Abstract: and triggered rules ensure that the output for each follower converges to the convex hull spanned by multi-leaderIn addition, no agent exhibits .

Keywords： Multi-agent systems     Distributed event-triggered control     Containment control     Heterogeneous nonlinear    

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Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural Research Article

Hanqi DAI, Weining LU, Xianglong LI, Jun YANG, Deshan MENG, Yanze LIU, Bin LIANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1069-1076 doi: 10.1631/FITEE.2100597

Abstract: This work focuses on when each agent has only a local observation range and local communication.

Keywords： Multi-agent system     Cooperative planning     GraphSAGE     Task-oriented knowledge fusion    

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Finite-time formation control for first-order multi-agent systems with region constraints Research Articles

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000177

Abstract: In this study, the control of s with region constraints is studied. Multiple agents have first-order dynamics and a common target area. A novel control algorithm is proposed using local information and interaction. If the communication graph is undirected and connected and the desired framework is rigid, it is proved that the controller can be used to solve the formation problem with a target area. That is, all agents can enter the desired region in finite time while reaching and maintaining the desired formation shapes. Finally, a numerical example is given to illustrate the results.

Keywords： Finite-time formation     Multi-agent system     Asymptotic convergence     Set constraint     Lyapunov theorem    

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Title Author Date Type Operation

Methods of Processing Ambiguity in Multi-Agent System

Wang Ziqiang,Feng Boqin

Journal Article

The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System

Zhang Hongwei,Wu Aiguo,Sheng Tao

Journal Article

Leader-following synchronization of a multi-agent system with heterogeneous delays

Branislav Rehák, Volodymyr Lynnyk,rehakb@utia.cas.cz,volodymyr.lynnyk@utia.cas.cz

Journal Article

Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Journal Article

A Multi-agent Model Based on Cellular Automata for Simulating Human Behavior to Assess Building Design

Fang Weifeng,Yang Lizhong,Huang Rui

Journal Article

Multi-agent differential game based cooperative synchronization control using a data-driven method

Yu SHI, Yongzhao HUA, Jianglong YU, Xiwang DONG, Zhang REN

Journal Article

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents

Jian ZHAO, Youpeng ZHAO, Weixun WANG, Mingyu YANG, Xunhan HU, Wengang ZHOU, Jianye HAO, Houqiang LI

Journal Article

Bipartite asynchronous impulsive tracking consensus for multi-agent systems

Lingzhong ZHANG, Yuanyuan LI, Jungang LOU, Jianquan LU

Journal Article

MAS-based production scheduling system for manufacturing cell-based workshop

CHU Hong-yan, CAO Quan-jun, FEI Ren-yuan

Journal Article

Stability of General Linear Dynamic Multi-Agent Systems under Switching Topologies with Positive Real

Shengbo Eben Li, Zhitao Wang, Yang Zheng, Diange Yang, Keyou You

Journal Article

Consensus of multi-agent systems with dynamic join characteristics under impulsive control

Xiang Hu, Zufan Zhang, Chuandong Li,huyangyu0203@163.com,zhangzf@cqupt.edu.cn,cdli@swu.edu.cn

Journal Article

Leader-following consensus of second-order nonlinear multi-agent systems subject to disturbances

Mao-bin LU, Lu LIU

Journal Article

Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered

Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang,xiangzr@njust.edu.cn

Journal Article

Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural

Hanqi DAI, Weining LU, Xianglong LI, Jun YANG, Deshan MENG, Yanze LIU, Bin LIANG

Journal Article

Finite-time formation control for first-order multi-agent systems with region constraints

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Journal Article