检索结果-内蒙古大学图书馆

distributed control strategy of central heating system based on multi-agent consensus

APPLIED THERMAL ENGINEERING 2025年 262卷

作者： Su, Gang Peng, Yongheng Yao, Wanxiang Zhang, Shuangyang Tianjin Chengjian Univ Sch Control & Mech Engn Tianjin 300384 Peoples R China Anhui Jianzhu Univ Anhui Prov Key Lab Intelligent Bldg Energy Saving Hefei 230022 Peoples R China Qingdao Univ Technol iSMART Qingdao 266033 Peoples R China Tianjin Jingwei Hirain Technol Ltd Tianjin 300384 Peoples R China

In this study, a centralised heat supply system based on a distributed multi-agent consistency algorithm is proposed, aiming at solving the problems of energy wastage and low quality of heat supply due to uneven heat distribution and supply-demand imbalance in the current system. By constructing a multi-agent model based on a typical first-order discrete consistency algorithm and matrix operations, the distributed coordinated control among the intelligences in the system is realised. The system is simulated under four typical operating conditions, including supply-demand equilibrium, heat shortage, demand fluctuation and communication topology change. The simulation results show that the proposed method can dynamically adjust the heat distribution under demand fluctuation, effectively reduce energy waste, and significantly improve the stability and coordination of the system. Compared with the traditional centralised control method, this distributed multi-agent system achieves higher energy efficiency and more balanced heat supply in different scenarios. The results demonstrate the potential of the multi-agent consistency algorithm in centralised heat supply systems and expand its prospects in the field of heat supply.

关键词： distributed multi-agent system District heating system Heat balance multi-agent consensus

来源：评论

学校读者我要写书评

暂无评论

Age of Incorrect Information-Aware Data Dissemination for distributed multi-agent systems

引用

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2024年第10期23卷 15705-15718页

作者： He, Guojun Zhang, Shengyu Feng, Mingjie Li, Silan Jiang, Tao Huazhong Univ Sci & Technol Res Ctr 6G Mobile Commun Sch Cyber Sci & Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China

In this paper, we propose an age of incorrect information (AoII)-aware data dissemination scheme for distributed multi-agent systems (MASs). In the proposed scheme, AoII is utilized to measure the importance of data in terms of timeliness and content. We formulate the joint optimization of time slot allocation and agent selection as a decentralized partially observable Markov decision process (Dec-POMDP), with the objective of minimizing the AoII. To solve the Dec-POMDP, a novel multi-agent reinforcement learning algorithm (DV-MAPPO) is proposed. In particular, to tackle challenges posed by the partial observability of global system information, each agent estimates the global system state using variational inference. Moreover, to improve the accuracy of global system state estimation, each agent is given an intrinsic reward that is dominated by the accuracy of estimates. The proposed data dissemination scheme is implemented and evaluated in various missions. Simulation results show that the proposed data dissemination scheme outperforms traditional data dissemination schemes in terms of AoII. Furthermore, in typical multi-agent collaborative tasks, the proposed scheme facilitates more efficient cooperation among multiple agents compared to the data distribution mechanisms that ignore the importance of data.

关键词： Data dissemination Ad hoc networks Measurement Task analysis Optimization Wireless communication Sensors Age of incorrect information multi-agent reinforcement learning data dissemination distributed multi-agent system task-oriented communication artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

A Backbone-Listener Relative Localization Scheme for distributed multi-agent systems

A Backbone-Listener Relative Localization Scheme for Distrib...

引用

IEEE Global Communications Conference (GLOBECOM)

作者： Li, Xiaoxiang Liu, Yan Wang, Yunlong Shen, Yuan Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China China Satellite Network Innovat Co Ltd Beijing Peoples R China

ISBN: (纸本)9781665435406

Reliable and accurate localization awareness is of great importance for the distributed multi-agent system (DMAS). Instead of global information, measurements only between neighbors pose locatability and accuracy challenges for distributed systems, which leads to the development and application of relative localization. In this paper, we put forward a backbone-listener localization scheme for the D-MAS. agents switch backbone-listener modes through a node selection strategy. Position and orientation angle of agents are jointly estimated by range and angle information fusion. A distributed multi-dimensional scaling method is proposed for backbone agents to maintain the topology estimation. And listener agents ensure the localization capacity through a least square range and angle fusion algorithm. Extensive simulation and real-world experiments validate that our method achieves decimeter-level accuracy relative localization.

关键词： cooperative localization distributed multi-agent system hardware implementation

来源：评论

学校读者我要写书评

暂无评论

Containment Control Algorithm for multi-agent system with Heterogeneous agents 20th

Containment Control Algorithm for Multi-agent System with He...

引用

20th Chinese Intelligent systems Conference

作者： Shao, Zhanyue Cent South Univ Sch Automat Changsha 410083 Peoples R China

ISBN: (纸本)9789819786527;9789819786503;9789819786497

This paper investigates the containment control problem in distributed multi-agent systems under switching topologies. We propose a distributed containment control algorithm to address scenarios where different types of agents coexist within the system (heterogeneous multi-agent system). The algorithm ensures that all agents within the system will enter the convex hull formed by leaders. Additionally, we improve the handling of leader information by directly computing it, which avoids the computational overhead associated with traditional algorithms that involve projection calculations. By discussing system stability and convergence under three different conditions, we prove that each follower can enter the convex hull ultimately if the union of each switching graph is strongly connected in a bounded time interval. Finally, we validate the effectiveness of the proposed algorithm through a numerical simulation.

关键词： containment control distributed multi-agent system heterogeneous system switching topologies

来源：评论

学校读者我要写书评

暂无评论

Research on Intelligent Resource Scheduling system Based on Inference Pipeline Allocation for Edge Cooperative systems

Research on Intelligent Resource Scheduling System Based on ...

引用

2023 IEEE International Conference on Electrical, Automation and Computer Engineering, ICEACE 2023

作者： Liu, Hui Mao, Linhui Wu, Yu Zhang, Lizhi NARI Group Co. Ltd Nanjing China

ISBN: (纸本)9798350309614

This paper presents a zero-idle pipeline scheduling model for distributed multi-agent systems. The petri net model of the system can be obtained intuitively. The agent pipeline scheduling model is extended by the coding method based on job sequence and the new entity generation method. This method is applied to manufacturing execution system scheduling system. Finally, the effectiveness of the designed coordination mechanism is verified by experiments. The system is compared with mathematical solvers and existing algorithms. The research results solve the pipeline scheduling problem under the constraint of peak energy consumption more effectively. © 2023 IEEE.

关键词： distributed multi-agent system petri net Scheduling system zero idle pipeline scheduling

来源：评论

学校读者我要写书评

暂无评论

BDBM: A distributed network simplification method for solving task allocation problems

引用

EXPERT systemS WITH APPLICATIONS 2024年 246卷

作者： Liao, Bin Wan, Fangyi Hua, Yi Zhu, Shenrui Ma, Ting Qing, Xinlin Northwestern Polytech Univ Sch Aeronaut Xian 710072 Peoples R China Xiamen Univ Sch Aerosp Engn Xiamen 361005 Peoples R China

Existing task allocation algorithms often fail to consider communication load and do not meet the scalability requirements of large-scale systems in practical applications. Furthermore, many general network simplification algorithms are centralized and not designed for task allocation scenarios, thus losing their superiority when applied to solve task allocation problems in distributed systems. Inspired by recent network simplification algorithms, this paper introduces a novel network simplification algorithm called bid -based distributed brokenmotifs (BDBM), which simplifies the communication network by reducing the number of closed -loop triangles. The BDBM algorithm keeps those communication edges that facilitate the deconfliction based on the initial bids, thus avoiding the surge in the number of convergence iterations caused by the simplification. In addition, CBBA is distributed and requires only two iterations to complete the communication network simplification. Theoretical analysis confirms that the simplified network of BDBM remains connected and can be used in combination with improved task allocation algorithms based on consensus -based bundle algorithm (CBBA). In terms of experiments, we conducted comprehensive experiments in different settings and found that the proposed algorithm does not lead to worse allocation solutions. The statistical results also show that BDBM outperforms state-of-the-art network simplification algorithms in terms of solving efficiency and scalability in assisting CBBA solve large-scale complex task allocation problems.

关键词： Communication reduction Network simplification Task allocation distributed multi-agent system Consensus-based bundle algorithm

来源：评论

学校读者我要写书评

暂无评论

A Decentralized Approach for Frequency Control and Economic Dispatch in Smart Grids

引用

IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND systemS 2017年第3期7卷 447-458页

作者： Lu, Pengpeng Zhao, Jinquan Yao, Jianguo Yang, Shengchun Hohai Univ Coll Energy & Elect Engn Nanjing 211100 Jiangsu Peoples R China China Elect Power Res Inst Power Automat Dept Nanjing 210003 Jiangsu Peoples R China

This paper proposes a decentralized approach for frequency control and economic dispatch in smart grids with distributed energy resources and responsive demands. The approach is implemented based on a distributed multi-agent system, in which each agent works in a collaborative manner via local computation and peer to peer communication. The approach is comprised of two strategies. A consensus-based strategy is implemented at the supply side to regulate system frequency economically. Self-adaptive updating rules are proposed for the key parameters to improve the accuracy and robustness of the consensus-based strategy. A threshold-based strategy is implemented at the demand side to provide ancillary services for frequency regulation. Simulation results are presented to demonstrate the effectiveness and robustness of the approach.

关键词： Decentralized approach distributed energy resources distributed multi-agent system economic dispatch frequency control responsive demands

来源：评论

学校读者我要写书评

暂无评论

Intelligent Traffic Signal Synchronization Using Fuzzy Logic and Q-Learning

Intelligent Traffic Signal Synchronization Using Fuzzy Logic...

引用

International Conference on Computing, Analytics and Security Trends (CAST)

作者： Iyer, Vignesh Jadhav, Rashmi Mavchi, Unnati Abraham, Jibi Coll Engn Pune 05 Maharashtra India

ISBN: (纸本)9781509013388

In the past decade, urban traffic has increased tremendously. As a result, the urban population has to invest more time in traveling. Increased road traffic results in an increased number of road accidents and more consumption of fuel, thus wasting energy. Hence for solving this issue, this paper proposes a traffic signal synchronization system which takes real time traffic signal data as input and with the implementation of multi-agent fuzzy logic, it introduces the design of an intelligent system which would smoothen the overall road traffic of the city. Fuzzy system is capable of handling the various levels of uncertainties found in the input data taken from the traffic signals. Since fuzzy logic system needs expert knowledge for its rule base and the rule base remains unchanged once defined, this paper adds up Q-learning module so that the system learns by itself by updating the set of rule base.

关键词： Fuzzy logic Q-learning Self-learning fuzzy logic using Q-learning distributed multi-agent system

来源：评论

学校读者我要写书评

暂无评论

Cloning, Resource Exchange, and Relation Adaptation: An Integrative Self-Organisation Mechanism in a distributed agent Network

引用

IEEE TRANSACTIONS ON PARALLEL AND distributed systemS 2014年第4期25卷 887-897页

作者： Ye, Dayong Zhang, Minjie Sutanto, Danny Univ Wollongong Fac Informat Sch Comp Sci & Software Engn Wollongong NSW 2522 Australia Univ Wollongong Fac Informat Sch Elect Comp & Telecommun Engn Wollongong NSW 2522 Australia

Self-organisation provides a suitable paradigm for developing self-managed complex distributed systems, such as grid computing and sensor networks. In this paper, an integrative self-organisation mechanism is proposed. Unlike current related studies, which propose only a single principle of self-organisation, this mechanism synthesises the three principles of self-organisation: cloning/spawning, resource exchange and relation adaptation. Based on this mechanism, an agent can autonomously generate new agents when it is overloaded, exchange resources with other agents if necessary, and modify relations with other agents to achieve a better agent network structure. In this way, agents can adapt to dynamic environments. The proposed mechanism is evaluated through a comparison with three other approaches, each of which represents state-of-the-art research in each of the three self-organisation principles. Experimental results demonstrate that the proposed mechanism outperforms the three approaches in terms of the profit of individual agents and the entire agent network, the load-balancing among agents, and the time consumption to finish a simulation run.

关键词： distributed multi-agent system self-organisation reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Dual averaging method for solving multi-agent saddle-point problems with quantized information

引用

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2014年第1期36卷 38-46页

作者： Yuan, Deming Ma, Qian Wang, Zhen Nanjing Univ Posts & Telecommun Coll Automat Nanjing 210046 Jiangsu Peoples R China Nanjing Univ Sci & Technol Sch Automat Nanjing Jiangsu Peoples R China Shandong Univ Sci & Technol Coll Informat Sci & Engn Qingdao Shandong Peoples R China

In this paper we study the multi-agent saddle-point problems where multiple agents try to collectively optimize a sum of local convex-concave functions, each of which is available to one specific agent in the network. We propose a distributed primal-dual subgradient method under the constraint that agents can only communicate quantized information. The method can be implemented over a time-varying network while satisfying some standard connectivity conditions. We provide convergence results and convergence rate estimates for the proposed method. In particular, we provide an error bound on its convergence rate to highlight the dependence on the quantization resolution. We have also provided a numerical example to show the effectiveness of the proposed method.

关键词： distributed multi-agent system dual averaging average consensus saddle-point problems deterministic quantization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：