IEEE Transactions on Control of Network Systems最新文献_第10页

IEEE Control Systems Society Information 电气和电子工程师学会控制系统协会信息

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-19 DOI: 10.1109/TCNS.2024.3441429

引用次数: 0

Multirobot Stochastic Patrolling via Graph Partitioning 通过图谱划分实现多机器人随机巡逻

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-18 DOI: 10.1109/TCNS.2024.3463502

Weizhen Wang;Xiaoming Duan;Jianping He

引用次数: 0

Distributed Control Within a Trapezoid Virtual Tube Containing Obstacles for Robotic Swarms Subject to Speed Constraints 受速度限制的机器人群在含有障碍物的梯形虚拟管内的分布式控制

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-18 DOI: 10.1109/TCNS.2024.3463472

Yan Gao;Chenggang Bai;Quan Quan

引用次数: 0

Nonlinear Multiagent Systems Consensus via Delayed Nonfragile Sampled-Data Control 通过延迟非脆弱采样数据控制达成非线性多代理系统共识

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-18 DOI: 10.1109/TCNS.2024.3463507

Zhengliang Zhai;Huaicheng Yan;Shiming Chen;Yufang Chang;Kaibo Shi

引用次数: 0

Clock Synchronization With Unknown and Unmodeled Disturbances Over Distributed Networks 分布式网络上未知和未建模干扰的时钟同步

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-18 DOI: 10.1109/TCNS.2024.3463399

Ke Fang;Jianqi Chen;Junfeng Wu

{"title":"Clock Synchronization With Unknown and Unmodeled Disturbances Over Distributed Networks","authors":"Ke Fang;Jianqi Chen;Junfeng Wu","doi":"10.1109/TCNS.2024.3463399","DOIUrl":"10.1109/TCNS.2024.3463399","url":null,"abstract":"The clock synchronization problem has garnered significant attention in the field of multiagent systems due to its aim of establishing a common and reliable framework for facilitating cooperation among different agents. In contrast to previous studies, our primary focus lies in addressing the following question: When we lack prior knowledge about disturbances, what synchronization performance can we achieve compared to a hindsight-based approach? To tackle this challenge, we introduce the concept of <italic>regret</i> as a metric to model and quantify our problem, independent of any assumptions regarding disturbances. We define regret as the measure of deviation from an ideal synchronization outcome. Furthermore, we prove that the problem inherently possesses a lower bound of regret, which remains unaffected by disturbances. By appropriately setting the regret requirement, we can transform the problem into an <inline-formula><tex-math>$mathcal {H}_infty$</tex-math></inline-formula> optimal control problem equivalently, which allows us to determine the corresponding synchronization strategy. Through simulations, we validate the effectiveness of our method, demonstrating its superiority over existing approaches.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"262-274"},"PeriodicalIF":4.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142254963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Distributed Proximal Alternating Direction Multiplier Method for Multiblock Nonsmooth Composite Optimization 多块非光滑复合优化的分布式近端交替方向乘法器方法

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-17 DOI: 10.1109/TCNS.2024.3462519

Yuan Zhou;Luyao Guo;Xinli Shi;Jinde Cao

{"title":"A Distributed Proximal Alternating Direction Multiplier Method for Multiblock Nonsmooth Composite Optimization","authors":"Yuan Zhou;Luyao Guo;Xinli Shi;Jinde Cao","doi":"10.1109/TCNS.2024.3462519","DOIUrl":"10.1109/TCNS.2024.3462519","url":null,"abstract":"In this article, we address a composite optimization problem in a distributed network. Each agent in the network possesses a private local convex function consisting of a differentiable term, a nonsmooth term, and a nonsmooth term combined with a linear operator. The objective is to minimize the sum of all local functions while achieving consensus among the local states through information exchange with neighboring agents. To tackle this problem, we propose a novel distributed proximal alternating direction multiplier method (ADMM). By introducing the proximal operator of the nonsmooth term, linearizing the smooth term, and incorporating an additional proximal term, the ADMM subproblem can be solved more efficiently. One key advantage of the proposed algorithm is that it allows each agent to select parameters without being constrained by the network topology. In some instances, the algorithm can be transformed into some classical optimization algorithms. The algorithm is further extended to an asynchronous version by introducing randomized block coordinate. We further analyze the convergence of the proposed asynchronous algorithm and establish the sublinear convergence rate under synchronous conditions. Finally, several numerical experiments are conducted to verify the effectiveness of the proposed algorithm.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"202-215"},"PeriodicalIF":4.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142254964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning Nonlinear Couplings in Network of Agents From a Single Sample Trajectory 从单个样本轨迹学习代理网络中的非线性耦合

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-17 DOI: 10.1109/TCNS.2024.3462850

Arash Amini;Qiyu Sun;Nader Motee

引用次数: 0

Refined Algorithms for Adaptive Optimal Output Regulation and Adaptive Optimal Cooperative Output Regulation Problems 自适应最优输出调节和自适应最优合作输出调节问题的改进算法

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-17 DOI: 10.1109/TCNS.2024.3462549

Liquan Lin;Jie Huang

{"title":"Refined Algorithms for Adaptive Optimal Output Regulation and Adaptive Optimal Cooperative Output Regulation Problems","authors":"Liquan Lin;Jie Huang","doi":"10.1109/TCNS.2024.3462549","DOIUrl":"10.1109/TCNS.2024.3462549","url":null,"abstract":"Given a linear unknown system with <inline-formula><tex-math>$m$</tex-math></inline-formula> inputs, <inline-formula><tex-math>$p$</tex-math></inline-formula> outputs, <inline-formula><tex-math>$n$</tex-math></inline-formula>-dimensional state vector, and <inline-formula><tex-math>$q$</tex-math></inline-formula>-dimensional exosystem, the problem of the adaptive optimal output regulation of this system boils down to iteratively solving a set of linear equations and each of these equations contains <inline-formula><tex-math>$frac{n (n+1)}{2} + (m+q)n$</tex-math></inline-formula> unknown variables. A problem with a moderate size may entail forming and then solving a few hundreds of such linear equations. Thus, the computational cost of solving such a problem can be formidable. In this article, we first improve the existing algorithm by decoupling each of these linear equations into two lower dimensional linear equations. The first one contains <inline-formula><tex-math>$nq$</tex-math></inline-formula> unknown variables, and the second one contains <inline-formula><tex-math>$frac{n (n+1)}{2} + mn$</tex-math></inline-formula> unknown variables. Thus, this improved algorithm reduces a linear equation with <inline-formula><tex-math>$frac{n (n+1)}{2} + (m+q)n$</tex-math></inline-formula> unknown variables to a linear equation with <inline-formula><tex-math>$nq$</tex-math></inline-formula> unknown variables and a linear equation with <inline-formula><tex-math>$frac{n (n+1)}{2} + mn$</tex-math></inline-formula> unknown variables. As a result, not only the computational cost of the problem is drastically reduced but also the solvability conditions for these equations are significantly weakened. Moreover, we also apply this improved algorithm to the adaptive cooperative optimal output regulation of linear multiagent unknown systems and reduce the computational cost of the problem more saliently.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"241-250"},"PeriodicalIF":4.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142254967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Formation Control of Robot Manipulators With Interagent Constraints Over Undirected Signed Networks 无向符号网络上具有代理间约束的机器人机械手鲁棒编队控制

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-17 DOI: 10.1109/TCNS.2024.3462554

Pelin Şekercioğlu;Bayu Jayawardhana;Ioannis Sarras;Antonio Loría;Julien Marzat

引用次数: 0

On Privacy Preservation of Distributed Energy Resource Optimization in Power Distribution Networks 论配电网络中分布式能源资源优化的隐私保护

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-09-17 DOI: 10.1109/TCNS.2024.3462536

Xiang Huo;Mingxi Liu

引用次数: 0