IEEE Control Systems Letters最新文献_第2页

Positive Consensus for Heterogeneous Multi-Agent Systems Over Jointly Connected Graphs 联合连接图上异构多代理系统的积极共识

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-31 DOI: 10.1109/LCSYS.2024.3489392

Ruonan Li;Yichen Zhang;Yutao Tang;Shurong Li

引用次数: 0

Logarithmically Quantized Distributed Optimization Over Dynamic Multi-Agent Networks 动态多代理网络上的对数量化分布式优化

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-29 DOI: 10.1109/LCSYS.2024.3487796

Mohammadreza Doostmohammadian;Sérgio Pequito

引用次数: 0

Direct Data-Driven Design of LPV Controllers and Polytopic Invariant Sets With Cross-Covariance Noise Bounds 直接数据驱动设计 LPV 控制器和具有交叉协方差噪声约束的多拓扑不变集

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-28 DOI: 10.1109/LCSYS.2024.3487504

Manas Mejari;Valentina Breschi

引用次数: 0

Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency 参数和非参数系统识别中的采样：差分、输入条件和一致性

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-28 DOI: 10.1109/LCSYS.2024.3487501

Rodrigo A. González;Max van Haren;Tom Oomen;Cristian R. Rojas

引用次数: 0

Rationality of Learning Algorithms in Repeated Normal-Form Games 重复正态博弈中学习算法的合理性

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-25 DOI: 10.1109/LCSYS.2024.3486631

Shivam Bajaj;Pranoy Das;Yevgeniy Vorobeychik;Vijay Gupta

{"title":"Rationality of Learning Algorithms in Repeated Normal-Form Games","authors":"Shivam Bajaj;Pranoy Das;Yevgeniy Vorobeychik;Vijay Gupta","doi":"10.1109/LCSYS.2024.3486631","DOIUrl":"https://doi.org/10.1109/LCSYS.2024.3486631","url":null,"abstract":"Many learning algorithms are known to converge to an equilibrium for specific classes of games if the same learning algorithm is adopted by all agents. However, when the agents are self-interested, a natural question is whether the agents have an incentive to unilaterally shift to an alternative learning algorithm. We capture such incentives as an algorithm’s rationality ratio, which is the ratio of the highest payoff an agent can obtain by unilaterally deviating from a learning algorithm to its payoff from following it. We define a learning algorithm to be c-rational if its rationality ratio is at most c irrespective of the game. We show that popular learning algorithms such as fictitious play and regret-matching are not c-rational for any constant \u0000<inline-formula> <tex-math>${mathrm { c}}geq 1$ </tex-math></inline-formula>\u0000. We also show that if an agent can only observe the actions of the other agents but not their payoffs, then there are games for which c-rational algorithms do not exist. We then propose a framework that can build upon any existing learning algorithm and establish, under mild assumptions, that our proposed algorithm is (i) c-rational for a given \u0000<inline-formula> <tex-math>${mathrm { c}}geq 1$ </tex-math></inline-formula>\u0000 and (ii) the strategies of the agents converge to an equilibrium, with high probability, if all agents follow it.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"2409-2414"},"PeriodicalIF":2.4,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preventive-Reactive Defense Tradeoffs in Resource Allocation Contests 资源分配竞赛中的预防性-反应性防御权衡

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-25 DOI: 10.1109/LCSYS.2024.3486629

Keith Paarporn;Shouhuai Xu

{"title":"Preventive-Reactive Defense Tradeoffs in Resource Allocation Contests","authors":"Keith Paarporn;Shouhuai Xu","doi":"10.1109/LCSYS.2024.3486629","DOIUrl":"https://doi.org/10.1109/LCSYS.2024.3486629","url":null,"abstract":"The connectivity enabled by modern computer networking technologies introduces vulnerabilities to adversarial attacks. Although it is ideal to be able to prevent all possible cyber attacks, this is not possible or feasible in practice and society must accept that attacks are inevitable. While many works study optimal security policies to minimize the chance of successful attacks, there are many unexplored territories. In this letter, we formulate and investigate a new problem, namely the tradeoff between the effort or resource that should be spent on preventing attacks (i.e., preventive defense) and the effort or resource that should be spent on recovering from attacks (i.e., reactive defense). We formulate the problem as a resource allocation game between the defender and the attacker, where they decide how to allocate resources to defend and attack a set nodes (e.g., computers), respectively. The game unfolds in two phases. (i) Allocate preventive resources to reduce the probabilities that the nodes are successfully compromised by the attacker. (ii) The compromised nodes undergo a recovery process, which can be sped up with the allocation of more reactive defense resources. Our results completely characterize the Nash equilibria of this game, revealing the defender’s optimal allocation of preventive versus reactive resources.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"2421-2426"},"PeriodicalIF":2.4,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of Opinion on Disease Transmission With Waterborne Pathogen and Stubborn Community 水传播病原体和顽固群落对疾病传播的影响

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-24 DOI: 10.1109/LCSYS.2024.3485963

Qingsong Liu;Li Ma

引用次数: 0

Numerical and Lyapunov-Based Investigation of the Effect of Stenosis on Blood Transport Stability Using a Control-Theoretic PDE Model of Cardiovascular Flow 利用心血管流动的控制论 PDE 模型，基于数值和 Lyapunov 对狭窄对血液运输稳定性影响的研究

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-23 DOI: 10.1109/LCSYS.2024.3484635

Shantanu Singh;Nikolaos Bekiaris-Liberis

{"title":"Numerical and Lyapunov-Based Investigation of the Effect of Stenosis on Blood Transport Stability Using a Control-Theoretic PDE Model of Cardiovascular Flow","authors":"Shantanu Singh;Nikolaos Bekiaris-Liberis","doi":"10.1109/LCSYS.2024.3484635","DOIUrl":"https://doi.org/10.1109/LCSYS.2024.3484635","url":null,"abstract":"We perform various numerical tests to study the effect of (boundary) stenosis on blood flow stability, employing a detailed and accurate, second-order finite-volume scheme for numerically implementing a partial differential equation (PDE) model, using clinically realistic values for the artery’s parameters and the blood inflow. The model consists of a baseline \u0000<inline-formula> <tex-math>$2times 2$ </tex-math></inline-formula>\u0000 hetero-directional, nonlinear hyperbolic PDE system, in which, the stenosis’ effect is described by a pressure drop at the outlet of an arterial segment considered. We then study the stability properties (observed in our numerical tests) of a reference trajectory, corresponding to a given time-varying inflow (e.g., a periodic trajectory with period equal to the time interval between two consecutive heartbeats) and stenosis severity, deriving the respective linearized system and constructing a Lyapunov functional. Due to the fact that the linearized system is time varying, with time-varying parameters depending on the reference trajectories themselves (that, in turn, depend in an implicit manner on the stenosis degree), which cannot be derived analytically, we verify the Lyapunov-based stability conditions obtained, numerically. Both the numerical tests and the Lyapunov-based stability analysis show that a reference trajectory is asymptotically stable with a decay rate that decreases as the stenosis severity deteriorates.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"2403-2408"},"PeriodicalIF":2.4,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Higher-Order Non-Autonomous Optimal Area Coverage Control 高阶非自主优化区域覆盖控制

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-18 DOI: 10.1109/LCSYS.2024.3483668

Qianyu Li;Davide Spinello

引用次数: 0

Almost Sure Convergence and Non-Asymptotic Concentration Bounds for Stochastic Mirror Descent Algorithm 随机镜像后裔算法的几乎确定收敛性和非渐近集中限界

IF 2.4

IEEE Control Systems Letters Pub Date : 2024-10-16 DOI: 10.1109/LCSYS.2024.3482148

Anik Kumar Paul;Arun D. Mahindrakar;Rachel K. Kalaimani

引用次数: 0