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Leaderless consensus for Second-Order Inertia Uncertain Multi-Agent Systems Under Directed Graphs Without Relative Velocity Information

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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2021年第4期8卷 3417-3429页

作者： Tian, Kaixin Guo, Zhenhong Mei, Jie Jiang, Chunjing Ma, Guangfu Harbin Inst Technol Sch Mech Engn & Automat Shenzhen 518055 Guangdong Peoples R China Huawei Device Co Ltd Dongguan 523000 Guangdong Peoples R China TravelSky Technol Ltd Beijing 101318 Peoples R China

In this paper, we investigate the leaderless consensus problem for second-order multi-agent systems (MASs) with unknown inertias and parametric uncertainties. The graph that describes the interaction among the agents is generally directed. We consider both fixed and switching graphs. For a fixed directed topology, the associated graph needs to contain a spanning tree. For dynamically switching topologies, the uniform joint connectivity is required. We proposed consensus algorithms without relative velocity measurements, which are fully distributed in the sense that no common control gains are used and no global gain dependency conditions are required. The cases of agent dynamics with unknown nonidentical control directions and the asymptotic consensus in the presence of external disturbances are further investigated.

关键词： Directed graphs Switches Uncertainty Heuristic algorithms Multi-agent systems consensus algorithm Velocity measurement Multi-agent systems leaderless consensus directed graphs uncertainties

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A consensus-Based Charging Control Strategy for Electric Vehicles Participating in Performance-Based Regulation Markets

A Consensus-Based Charging Control Strategy for Electric Veh...

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IEEE Vehicle Power and Propulsion Conference (VPPC)

作者： Gao, Shuang Li, Chenhao Dai, Ruxin Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China

ISBN: (纸本)9781665475877

With the continuous expansion of the scale of electric vehicles, the application value behind electric vehicles (EV) as mobile energy storage units is increasing. In this paper, a consensus algorithm-based control strategy for electric vehicle clusters to participate in the secondary frequency regulation of the power grid is proposed adjust the power of the electric vehicle clusters to participate in the secondary regulation of the power market. The algorithm can make the regulation power of each electric vehicle cluster track the upper-layer regulation signal, and control the state of charge (SOC) of the electric vehicle battery on this basis, so that the regulation capacity of EVs can be efficiently utilized. Through simulation analysis, the effectiveness of the consistent frequency modulation power control proposed in this paper is verified, which can alleviate the fluctuation problem of grid frequency.

关键词： electric vehicles frequency regulation cluster control consensus algorithm

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A Blockchain Communication Resource Optimization consensus Method 22

A Blockchain Communication Resource Optimization Consensus M...

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4th Blockchain and Internet of Things Conference (BIOTC)

作者： Yu, Jingchang Shen, Tao Bai, Fenhua Yu, Zhuo Luo, Jianzhao Kunming Univ Sci & Technol China Fac Informat Engn & Automat Kunming Peoples R China Beijing Zhongdian Puhua Informat Technol Co Ltd Beijing Peoples R China Yunnan Key Lab Blockchain Applicat Technol Kunming Peoples R China

ISBN: (纸本)9781450396622

Since the emergence of Bitcoin, the blockchain technology behind it has been gradually gaining attention from all walks of life. As the core of blockchain technology, the consensus algorithm determines the security, scalability and decentralization of the blockchain and many other important characteristics. The efficiency of the current blockchain consensus algorithm still needs to be improved. To address this issue, this paper proposes a consensus algorithm for communication resource optimization (CCRO), which divides consensus nodes into different domains, calculates the trust of nodes by several trust factors, and assigns different roles to nodes according to the trust. It also introduces a new class of nodes, i.e., communication nodes, which are responsible for the delivery of messages in the consensus process, and achieves the communication resource optimization of the blockchain system. By building an experimental platform, we verify the performance of CCRO, which downscales the inter-node consensus communication protocol, optimizes the regional data synchronization protocol, reduces the network communication overhead, and effectively improves the consensus efficiency.

关键词： Blockchain consensus algorithm Communication resource

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Chaos Engineering For Understanding consensus algorithms Performance in Permissioned Blockchains

Chaos Engineering For Understanding Consensus Algorithms Per...

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IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Shiv Sondhi Sherif Saad Kevin Shi Mohammad Mamun Issa Traore University of Windsor National Research Council of Canada University of Victoria

ISBN: (纸本)9781665421751

A critical component of any blockchain or distributed ledger technology (DLT) platform is the consensus algorithm. Blockchain consensus algorithms are the primary vehicle for the nodes within a blockchain network to reach an agreement. In recent years, many blockchain consensus algorithms have been proposed mainly for private and permissioned blockchain networks. However, the performance of these algorithms and their reliability in hostile environments or the presence of byzantine and other network failures are not well understood. In addition, the testing and validation of blockchain applications come with many technical challenges. In this paper, we apply chaos engineering and testing to understand the performance of consensus algorithms in the presence of different loads, byzantine failure and other communication failure scenarios. We apply chaos engineering to evaluate the performance of three different consensus algorithms (PBFT, Clique, Raft) and their respective blockchain platforms. We measure the blockchain network's throughput, latency, and success rate while executing chaos and load tests. We develop lightweight blockchain applications to execute our test in a semi-production environment. Our results show that using chaos engineering helps understand how different consensus algorithms perform in a hostile or unreliable environment and the limitations of blockchain platforms. Our work demonstrates the benefits of using chaos engineering in testing complex distributed systems such as blockchain networks.

关键词： Chaos Distributed ledger Scalability System performance consensus algorithm Production Throughput

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Achieving local consensus over compact submanifolds

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IEEE Transactions on Automatic Control 2025年

作者： Hu, Jiang Zhang, Jiaojiao Deng, Kangkang University of California Department of Mathematics BerkeleyCA94720 United States KTH Royal Institute of Technology Division of Decision and Control Systems Stockholm Sweden National University of Defense Technology Department of Mathematics Changsha China

Decentralized optimization often relies on achieving consensus among disparate agents. This paper addresses the consensus problem in decentralized networks, focusing on the challenges posed by a nonconvex compact submanifold constraint. We identify conditions on network topology that facilitate local linear convergence to global consensus, where the achieved linear rate matches that of the Euclidean setting. Central to our analysis are the convex-like properties, specifically proximal smoothness and the restricted secant inequality, which form the foundation of our theoretical framework. These results will be useful for the design and analysis of decentralized manifold optimization algorithms. Numerical experiments are conducted to validate our theoretical findings. © 2025 IEEE.

关键词： consensus algorithm

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HRBwSD: Hybrid radial based with standard deviation 4

HRBwSD: Hybrid radial based with standard deviation

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4th IEEE International Conference on Smart Information Systems and Technologies, SIST 2024

作者： Imanbek, Rustem Buribayev, Zholdas Yerkos, Ainur Shaikalamova, Saida Abdirazak, Zemfira Dauletiya, Daniyar Department of Computer Science Al-Farabi KazNU Almaty Kazakhstan Information Systems Development Department Al-Farabi KazNU Almaty Kazakhstan Research and Innovation Laboratory FabLab Astana IT University Astana Kazakhstan

ISBN: (纸本)9798350374865

The problem of class imbalance has become a relevant topic in the field of machine learning, and there are several ways to solve this problem, including oversampling, undersampling, and hybrid algorithms. The HRBwSD algorithm proposed in the research belongs to the category of hybrid algorithms. The algorithm was created based on the RBU (Radial-Based Undersampling) and RBO (Radial-Based Oversampling) algorithms, which take into account the exclusion of duplicates and the preservation of the original class distribution. The results show that the model estimates obtained using the proposed algorithm were comparable to the estimates obtained using other class balancing algorithms. This confirms the importance of adapting algorithms to the specifics of the data to obtain more accurate and fair results. © 2024 IEEE.

关键词： consensus algorithm

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Can blockchain link the future?

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Digital Communications and Networks 2022年第5期8卷 687-694页

作者： Liang Qiao Shuping Dang Basem Shihada Mohamed-Slim Alouini Robert Nowak Zhihan Lv College of Computer Science&Technology Qingdao UniversityQingdao266071China Computer Electrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and TechnologyThuwal23955-6900Saudi Arabia Institute of Computer Science Warsaw University of TechnologyNowowiejska 15/1900-665WarsawPoland

Recently,decentralization has been extensively explored by ***,as a representation of decentralized technology,has attracted attention with its unique characteristics,such as irrevocability and ***,herein,we introduce cutting-edge blockchain technologies from four directions:blockchain system,consensus algorithms,smart contract,and ***,we analyze the current lack of consensus mechanism,fault tolerance,and block capacity of the blockchain,and the integration of blockchain into 5G/6G mobile ***,we discuss the possible applications of blockchain in intellectual property protection,the Internet of Things,digital twins,standardization,and epidemic prevention and ***,explore the impacts and solutions of blockchain on human society beyond technology.

关键词： Blockchain consensus algorithm Scalability Smart contract Internet of things Digital twins

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A Non Linear System Controlling using Constrained based Genetic algorithm 5

A Non Linear System Controlling using Constrained based Gene...

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5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Vidyarthi, Vrij Mohan Mishra, Deepali Mittal, Amit Bandyopadhyay, Krishnan Pundhir, Shivali Varshney, Niharika Tula's Institute Department of Eee U.K. Dehradun India Invertis University Deptt. of Computer Application Uttar Pradesh Bareilly India Graphic Era Hill University Dept of Allied Sciences Bhimtal Campus India Dayananda Sagar College of Engineering Deptt. of Medical Electronics Engg. Bengaluru560078 India Tula's Institute Deptt. of Computer Sci. & Engg U.K. Dehradun India Graphic Era Deemed to be University Deptt. of Electrical Engg. Dehradun India

ISBN: (纸本)9798331504403

This article presents the controlling of non-linear system with artificial intelligence (AI) technique. The non- linear system is represented by second order function and genetic algorithm will be used as AI technique. The genetic algorithm involves the three steps: reproduction, crossover, and mutation. The non-linear system is diverging in nature which is showing the non-bounded system and unstable. If the constraints are included in the mathematical expression of the second order system, the performance parameters can be improved. The second order nonlinear system including the constraints is trained by using genetic algorithm (GA). After the implementation of GA, non linear system is converging fast to bounded value or finite region. © 2024 IEEE.

关键词： consensus algorithm

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Implementation of A* and Dijkstra algorithms for optimal Pathfinding: A Case Study of Nearest Hospital Location from Bina Nusantara University 6

Implementation of A* and Dijkstra Algorithms for optimal Pat...

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6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Wijaya, Febrio Dharma Bangun, Samuel Andreas Saputri, Hanis Amalia Sari, Azani Cempaka Computer Science Department School of Computer Science Bina Nusantara University Jakarta11530 Indonesia

ISBN: (纸本)9798331539603

In this study, we implement and evaluate A* and Dijkstra's pathfinding algorithms to find the nearest hospital from Bina Nusantara University (BINUS) in Jakarta, Indonesia. To address the urgent need for efficient routing in emergency situations, we first collect location data using Google Maps and model it in a graph structure. Both algorithms are then applied to determine the shortest path from the university to nearby hospitals. Dijkstra's algorithm consistently produces optimal paths, but its computational complexity increases with the number of nodes and edges, making it less efficient in densely connected urban areas. In contrast, the A* algorithm leverages heuristic estimates to prioritize nodes, reducing processing time and proving more effective for large-scale, dynamic navigation scenarios. Our evaluation shows that A* is more suitable for real-time pathfinding in cities, while Dijkstra’s algorithm is better suited for smaller or less complex networks. Future work could improve algorithm efficiency by incorporating real-time traffic data, developing advanced heuristics, exploring hybrid methods, and investigating alternative algorithms for urban navigation challenges. © 2024 IEEE.

关键词： consensus algorithm

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Exponential Stability of Primal-Dual Gradient Method for Distributed Convex Strongly Concave Minimax Problem

Exponential Stability of Primal-Dual Gradient Method for Dis...

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American Control Conference (ACC)

作者： Hu, Binxin Liang, Shu Tongji Univ Dept Control Sci & Engn Shanghai Peoples R China Shanghai Res Inst Intelligent Syst Shanghai Peoples R China

ISBN: (纸本)9798350382662;9798350382655

In this paper, we investigate distributed convex strongly concave minimax problem without the requirement of strong convexity. The distributed minimax problem is transformed into a distributed optimization with inner maximum operation and solved by a class of primal-dual gradient algorithms. By using the metric regularity, a criterion for exponential convergence is given. Moreover, we explain why the criterion corresponds to a weaker assumption than strict or strong convexity. Two numerical simulation examples demonstrate the effectiveness of the algorithm.

关键词： consensus algorithm

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