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57th IEEE Conference on Decision and Control (CDC)

作者： Ji, Chengda Mallada, Enrique Gayme, Dennice F. Johns Hopkins Univ Dept Mech Engn 3400 N Charles St Baltimore MD 21218 USA Johns Hopkins Univ Dept Elect & Comp Engn 3400 N Charles St Baltimore MD 21218 USA

ISBN: (纸本)9781538613955

consensus algorithms constitute a powerful tool for computing average values or coordinating agents in many distributed applications. Unfortunately, the same property that allows this computation (i.e., the nontrivial nullspace of the state matrix) leads to unbounded state variance in the presence of measurement errors. In this work, we explore the trade-off between relative and absolute communication (feedback) in the presence of measurement errors. We evaluate the robustness of first and second order integrator systems under a parameterized family of controllers (homotopy), that continuously trade between relative and absolute feedback interconnections, in terms of the H-2 norm of an appropriately defined input-output system. Our approach extends the previous H-2 norm based analysis to systems with directed feedback interconnections whose underlying weighted graph Laplacians are diagonalizable. Our results indicate that any level of absolute communication is sufficient to achieve a finite H-2 norm, but purely relative feedback can only achieve finite norms when the measurement error is not exciting the subspace associated with the consensus state. Numerical examples demonstrate that smoothly reducing the proportion of absolute feedback in double integrator systems smoothly decreases the system performance (increases the H-2 norm) and that this performance degradation is more rapid in systems with relative feedback in only the first state (position).

关键词： Measurement errors Laplace equations Robustness Eigenvalues and eigenfunctions consensus algorithm System performance Measurement uncertainty

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A Review of Recent Trends in Blockchain consensus algorithms: Artificial Intelligence-Based Approaches 28

A Review of Recent Trends in Blockchain Consensus Algorithms...

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28th Asia-Pacific Conference on Communications (APCC)

作者： Windiatmaja, Jauzak Hussaini Salman, Muhammad Sari, Riri Fitri Univ Indonesia Fac Engn Dept Elect Engn Depok Indonesia

ISBN: (纸本)9798350382617

Blockchain has emerged as an important technology, offering safe, decentralized, and transparent platforms for recording and validating transactions. Blockchain technology consist of several main components, i.e., consensus algorithm. The consensus algorithm guarantees that all participating nodes in a blockchain network agree over the data control. Traditional consensus methods, such as Proof of Work (PoW) and Proof of Stake (PoS), present issues in terms of energy consumption and attack vulnerability. To overcome these constraints, there has been a rising interest in incorporating Artificial Intelligence (AI) techniques, especially deep learning, into blockchain consensus algorithms. We highlight blockchain fundamentals in this article, while also stressing the importance of the consensus algorithm. Furthermore, we address the most recent advancements in blockchain consensus methods in both performance-based and reputation-based paradigm, emphasizing the use of AI inside these decentralized systems. The use of AI, especially deep learning, in consensus algorithms has the potential to overcome the limitations of previous techniques. Blockchain networks may improve its performance by employing AI capabilities. However, incorporating AI into blockchain consensus algorithms is having its own challenges. Therefore, we also highlight several issues related with AI-based techniques in blockchain consensus algorithms, such as dealing with the quality and variety of data utilized by consensus algorithms and maintaining the openness of the AI models. In addition to those challenges, we propose a future direction for the AI-based approach in blockchain, which includes merging the mechanisms of performance-based and reputation-based consensus algorithms to incorporate the merits of both methods.

关键词： Blockchain consensus algorithm Artificial Intelligence Deep Learning

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Enhancing IMM Accuracy through consensus algorithms for Cooperative Target Tracking 16

Enhancing IMM Accuracy through Consensus Algorithms for Coop...

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16th International Conference on Microwave and Millimeter Wave Technology (ICMMT)

作者： Wang, Qiang Li, Guowei Xia, Lei Zhang, Shurui Sheng, Weixing Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Peoples R China

ISBN: (纸本)9798350389968

This paper delves into the consensus algorithm and multi-model algorithm within sensor networks. To enhance the tracking capabilities for maneuvering targets, extending tracking from single sensors to a multi-sensor network becomes imperative. However, due to measurement errors among sensors, the algorithmic outputs from different sensors often exhibit inconsistencies. To ensure consensus among these results, a consensus algorithm is introduced. Information transmission between sensor networks relies on this consensus algorithm. Additionally, the fusion algorithm for each sensor is executed through the multi-model algorithm.

关键词： IMM consensus algorithm Maneuvering target tracking

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A Survey of consensus algorithms for Blockchain Technology

A Survey of Consensus Algorithms for Blockchain Technology

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International Conference on Computer and Information Sciences (ICCIS)

作者： Alsunaidi, Shikah J. Alhaidari, Fahd A. Imam Abdulrahman Bin Faisal Univ Coll Comp Sci & Informat Technol Dept Comp Sci POB 1982 Dammam 31441 Saudi Arabia

ISBN: (纸本)9781538681251

Blockchain technology is a new shift in the Internet world, it has brought about changes in many sectors. Where transactions can be securely accomplished via point-to-point connections in a distributed system without the need for a third-party, with the help of consensus algorithms. In this paper, we will conduct a comprehensive survey on the Blockchain technology with focusing in the popular consensus algorithms, in order to figure out their features, and the factors that affect the performance and security. Also, we will provide a classification of the consensus algorithms and we will perform a comprehensive comparison of studied consensus algorithms. In addition, we will provide a detailed discussion of the consensus algorithms that studied with an analysis of the main factors affecting these algorithms. Finally, we will refer to some recommendations that must be considered and which can contribute to the development of this area.

关键词： Blockchain consensus algorithm Proof-based Vote-based

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Adaptive consensus algorithms for Matrix-Weighted Networks with Parametric Uncertainties 11

Adaptive Consensus Algorithms for Matrix-Weighted Networks w...

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11th International Conference on Control, Automation and Information Sciences (ICCAIS)

作者： Hieu Minh Nguyen Hung Manh Nguyen Viet Hoang Pham Quoc Van Tran Chuong Van Nguyen Minh Hoang Trinh Hyo-Sung Ahn Hanoi Univ Sci & Technol HUST Sch Elect & Elect Engn Dept Automat Engn Hanoi Vietnam Gwangju Inst Sci & Technol GIST Sch Mech Engn Gwangju South Korea Hanoi Univ Sci & Technol HUST Sch Mech Engn Dept Mechatron Hanoi Vietnam Univ Southern Calif Viterbi Sch Engn Dept Aerosp & Mech Engn Los Angeles CA 90089 USA

ISBN: (数字)9781665452489

ISBN: (纸本)9781665452489

In this paper, we study the consensus problem for agents with parametric uncertainties interacting over matrix-weighted graphs. First, an adaptive matrix-weighted consensus algorithms for single-integrator agents is proposed and then extended to double- and higher-order integrator agents. Second, adaptive model-reference adaptive matrix-weighted consensus and its robustness are discussed. For each proposed consensus algorithm, conditions for the adaptive variables to converge to the uncertain parameters are also given. Finally, applications of the proposed consensus algorithms in displacement-based network localization and formation control are discussed and demonstrated by simulations.

关键词： Location awareness Adaptation models Sufficient conditions Uncertainty Adaptive systems Neural networks consensus algorithm

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Research on the Performance Analysis of Mainstream consensus algorithms of Consortium Blockchains 2

Research on the Performance Analysis of Mainstream Consensus...

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2nd International Conference on Mobile Internet, Cloud Computing and Information Security (MICCIS)

作者： Xiong, Weizhi Yao, Xiu Deng, Xiaohong Gannan Univ Sci & Technol Sch Informat Engn Ganzhou Peoples R China

ISBN: (纸本)9798350389913;9798350389906

The diverse range of consensus algorithms poses a challenge in selecting the most suitable one for practical application scenarios. Addressing the lack of quantitative performance comparison among consortium blockchain consensus algorithms, this paper quantifies key performance indicators in consensus algorithm evaluation. Furthermore, it designs a performance evaluation framework and employs it to conduct theoretical and empirical analyses of mainstream consensus algorithms in consortium blockchains. Finally, the paper outlines the advantages and limitations of each consensus algorithm and identifies the factors constraining their performance.

关键词： blockchain consensus algorithm quantitative assessment

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Analysis of Byzantine Fault Tolerant consensus algorithms 38

Analysis of Byzantine Fault Tolerant Consensus Algorithms

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38th International Conference on Information Networking (ICOIN)

作者： Jo, Mingyu Kim, Donghyeon Park, Sangoh Chung Ang Univ Sch Comp Sci & Engn Seoul South Korea

ISBN: (纸本)9798350330946;9798350330953

Maintaining data consistency in distributed computing is essential to maintain system reliability. To this end, many consensus techniques that can maintain data consistency even if a failure occurs are being studied, and research is being conducted on consensus techniques for Byzantine failures that can occur in unreliable public networks. In this paper, we introduce Byzantine fault tolerance consensus techniques: Practical Byzantine Fault Tolerance, High performance and Scalable Byzantine Fault Tolerance, and Zyzzyva. And we evaluate the performance of them. Afterward, directions for future research are presented.

关键词： byzantine fault tolerance consensus algorithm distributed system

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On Federated and Proof Of Validation Based consensus algorithms In Blockchain 1

On Federated and Proof Of Validation Based Consensus Algorit...

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International Conference on Materials, Alloys and Experimental Mechanics (ICMAEM)

作者： Ambili, K. N. Sindhu, M. Sethumadhavan, M. Amrita Univ Amrita Vishwa Vidyapeetham Amrita Sch Engn TIFAC CORE Cyber Secur Coimbatore Tamil Nadu India

Almost all real world activities have been digitized and there are various client server architecture based systems in place to handle them. These are all based on trust on third parties. There is an active attempt to successfully implement blockchain based systems which ensures that the IT systems are immutable, double spending is avoided and cryptographic strength is provided to them. A successful implementation of blockchain as backbone of existing information technology systems is bound to eliminate various types of fraud and ensure quicker delivery of the item on trade. To adapt IT systems to blockchain architecture, an efficient consensus algorithm need to be designed. Blockchain based on proof of work first came up as the backbone of cryptocurrency. After this, several other methods with variety of interesting features have come up. In this paper, we conduct a survey on existing attempts to achieve consensus in block chain. A federated consensus method and a proof of validation method are being compared.

关键词： Blockchain consensus algorithm Crypto currency Ripple Tendermint

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Performance Evaluation of Blockchain consensus algorithms For Electronic Health Record Sharing

Performance Evaluation of Blockchain Consensus Algorithms Fo...

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Global Congress on Electrical Engineering (GC-ElecEng)

作者： Hashim, Faiza Shuaib, Khaled Sallabi, Farag United Arab Emirates Univ Coll Informat Technol Al Ain U Arab Emirates

ISBN: (纸本)9781665420389

In any blockchain network, a consensus algorithm is considered a major factor in determining the performance of the network. This study aims to investigate consensus algorithms in healthcare blockchains for electronic health record (EHR) sharing by analyzing the scalability performance of these algorithms. Several consensus algorithms have been proposed in the literature and have been used for various types of blockchain networks. Herein, we analyze the performance of proof of work, practical Byzantine fault tolerance, and proof of authority (PoA) algorithms in the healthcare domain and propose an improved real-time PoA consensus algorithm for EHR sharing for faster consensus and block generation. Results of performed simulations show that the proposed algorithm outperforms previous consensus algorithms in terms of consensus time, number of blocks generated, network throughput, and scalability.

关键词： Healthcare blockchain electronic health record sharing consensus algorithm

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Optimal Selection of Intervention Timing in Opinion Dynamics

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IEEE Transactions on Automatic Control 2025年

作者： Zhang, Qi Wang, Lin Wang, Xiaofan Chen, Guanrong Shanghai Jiao Tong University Department of Automation Shanghai China Shanghai Jiao Tong University Department of Automation China Shanghai University School of Mechatronic Engineering and Automation China Shanghai Institute of Technology School of Electrical and Electronic Engineering Shanghai China City University of Hong Kong Department of Electrical Engineering Hong Kong Hong Kong

Differing from existing research on intervention strategies such as leader selection and edge addition, we investigate the impact of intervention timing in opinion dynamics. We employ the leader-based DeGroot model to formulate the evolution of opinions in social networks, wherein leaders represent organizations or parties that influence public opinion. We propose an optimal timing selection problem, in which a leader maximizes public opinion at a specific time by strategically selecting intervention times given a limited number of interventions. Our theoretical analysis shows that more interventions do not necessarily lead to better results, but additional interventions based on the existing intervention certainly do not worsen outcomes. Furthermore, we rigorously prove that intervention timing does not affect effectiveness if and only if all agents have the same weighted degree. Using the monotonicity and submodularity of the objective function, we develop a greedy algorithm and a time-importance-based heuristic algorithm to solve the problem. Our numerical simulations confirm the efficacy of these algorithms across both real-world social networks and synthetic random networks. © 1963-2012 IEEE.

关键词： consensus algorithm

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