IEEE open journal of control systems最新文献_第2页

IEEE Control Systems Society Publication Information IEEE控制系统协会出版信息

IEEE open journal of control systems Pub Date : 2025-01-07 DOI: 10.1109/OJCSYS.2024.3360366

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IEEE Open Journal of Control Systems Publication Information IEEE控制系统公开杂志出版信息

IEEE open journal of control systems Pub Date : 2025-01-07 DOI: 10.1109/OJCSYS.2024.3360362

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Dynamic Watermarking for Finite Markov Decision Processes 有限马尔可夫决策过程的动态水印

IEEE open journal of control systems Pub Date : 2025-01-06 DOI: 10.1109/OJCSYS.2025.3526003

Jiacheng Tang;Jiguo Song;Abhishek Gupta

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Initial Undershoot in Discrete-Time Input–Output Hammerstein Systems 离散时间输入输出Hammerstein系统的初始欠冲

IEEE open journal of control systems Pub Date : 2025-01-06 DOI: 10.1109/OJCSYS.2025.3525983

Hyung Jun Kim;Mohammadreza Kamaldar;Dennis S. Bernstein

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Quantization Effects on Zero-Dynamics Attacks to Closed-Loop Sampled-Data Control Systems 量化对闭环采样数据控制系统零动态攻击的影响

IEEE open journal of control systems Pub Date : 2024-11-28 DOI: 10.1109/OJCSYS.2024.3508396

Xile Kang;Hideaki Ishii

{"title":"Quantization Effects on Zero-Dynamics Attacks to Closed-Loop Sampled-Data Control Systems","authors":"Xile Kang;Hideaki Ishii","doi":"10.1109/OJCSYS.2024.3508396","DOIUrl":"https://doi.org/10.1109/OJCSYS.2024.3508396","url":null,"abstract":"This paper focuses on cyber-security issues of networked control systems in closed-loop forms from the perspective of quantized sampled-data systems. Quantization of control inputs adds quantization error to the plant input, resulting in certain variation in the plant output. On the other hand, sampling can introduce non-minimum phase zeros in discretized systems. We consider zero-dynamics attacks, which is a class of false data injection attacks utilizing such unstable zeros. Although non-quantized zero-dynamics attacks are undetectable from the plant output side, quantized attacks may be revealed by larger output variation. Our setting is that the attack signal is applied with the same uniform quantizer used for the control input. We evaluate the attack stealthiness in the closed-loop system setting by quantifying the output variation. Specifically, we characterize the cases for static and dynamic quantization in the attack signal, while keeping the control input statically quantized. Then we demonstrate that the attacker can reduce such output variation with a modified approach, by compensating the quantization error of the attack signal inside the attack dynamics. We provide numerical examples to illustrate the effectiveness of the proposed approaches. We show that observing the quantized control input value by a mirroring model can reveal the zero-dynamics attacks.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"4 ","pages":"18-29"},"PeriodicalIF":0.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10770577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Exact Recovery for System Identification With More Corrupt Data Than Clean Data 准确恢复系统识别与更多的腐败数据比干净的数据

IEEE open journal of control systems Pub Date : 2024-11-27 DOI: 10.1109/OJCSYS.2024.3507452

Baturalp Yalcin;Haixiang Zhang;Javad Lavaei;Murat Arcak

{"title":"Exact Recovery for System Identification With More Corrupt Data Than Clean Data","authors":"Baturalp Yalcin;Haixiang Zhang;Javad Lavaei;Murat Arcak","doi":"10.1109/OJCSYS.2024.3507452","DOIUrl":"https://doi.org/10.1109/OJCSYS.2024.3507452","url":null,"abstract":"This paper investigates the system identification problem for linear discrete-time systems under adversaries and analyzes two lasso-type estimators. We examine non-asymptotic properties of these estimators in two separate scenarios, corresponding to deterministic and stochastic models for the attack times. We prove that when the system is stable and attacks are injected periodically, the sample complexity for exact recovery of the system dynamics is linear in terms of the dimension of the states. When adversarial attacks occur at each time instance with probability \u0000<inline-formula><tex-math>$p$</tex-math></inline-formula>\u0000, the required sample complexity for exact recovery scales polynomially in the dimension of the states and the probability \u0000<inline-formula><tex-math>$p$</tex-math></inline-formula>\u0000. This result implies almost sure convergence to the true system dynamics under the asymptotic regime. As a by-product, our estimators still learn the system correctly even when more than half of the data is compromised. We emphasize that the attack vectors are allowed to be correlated with each other in this work. This paper provides the first mathematical guarantee in the literature on learning from correlated data for dynamical systems in the case when there is less clean data than corrupt data.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"4 ","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10769004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Optimal Control of Endemic Epidemic Diseases With Behavioral Response 通过行为响应优化地方流行病控制

IEEE open journal of control systems Pub Date : 2024-10-30 DOI: 10.1109/OJCSYS.2024.3488567

Francesco Parino;Lorenzo Zino;Alessandro Rizzo

{"title":"Optimal Control of Endemic Epidemic Diseases With Behavioral Response","authors":"Francesco Parino;Lorenzo Zino;Alessandro Rizzo","doi":"10.1109/OJCSYS.2024.3488567","DOIUrl":"https://doi.org/10.1109/OJCSYS.2024.3488567","url":null,"abstract":"Behavioral factors play a crucial role in the emergence, spread, and containment of human diseases, significantly influencing the effectiveness of intervention measures. However, the integration of such factors into epidemic models is still limited, hindering the possibility of understanding how to optimally design interventions to mitigate epidemic outbreaks in real life. This paper aims to fill in this gap. In particular, we propose a parsimonious model that couples an epidemic compartmental model with a population game that captures the behavioral response, obtaining a nonlinear system of ordinary differential equations. Grounded on prevalence-elastic behavior—the empirically proven assumption that the disease prevalence affects the adherence to self-protective behavior—we consider a nontrivial negative feedback between contagions and adoption of self-protective behavior. We characterize the asymptotic behavior of the system, establishing conditions under which the disease is quickly eradicated or a global convergence to an endemic equilibrium is attained. In addition, we elucidate how the behavioral response affects the endemic equilibrium. Then, we formulate and solve an optimal control problem to plan cost-effective interventions for the model, accounting for their healthcare and social-economical implications. Numerical simulations on a case study calibrated on sexually transmitted diseases demonstrate and validate our findings.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"3 ","pages":"483-496"},"PeriodicalIF":0.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10738387","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142694671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On Resilience Guarantees by Finite-Time Robust Control Barrier Functions With Application to Power Inverter Networks 有限时间鲁棒控制屏障函数的弹性保证及其在逆变器网络中的应用

IEEE open journal of control systems Pub Date : 2024-10-28 DOI: 10.1109/OJCSYS.2024.3487408

Kamil Hassan;Daniel Selvaratnam;Henrik Sandberg

{"title":"On Resilience Guarantees by Finite-Time Robust Control Barrier Functions With Application to Power Inverter Networks","authors":"Kamil Hassan;Daniel Selvaratnam;Henrik Sandberg","doi":"10.1109/OJCSYS.2024.3487408","DOIUrl":"https://doi.org/10.1109/OJCSYS.2024.3487408","url":null,"abstract":"In this study, a control theoretic description of resilience is provided to quantify the characteristics of a resilient system. The aim is to establish a paradigm for resilient control design based on tangible control objectives that yield desirable attributes for safety-critical systems. In that regard, durability and recoverability properties are identified as key components of the proposed resilience framework and, to offer a methodology to enforce these attributes, the notion of finite-time robust control barrier function (FR-CBF) is introduced. Furthermore, to offer a comprehensive treatment of the problem, resilient control design is investigated for both continuous and sampled-data systems. To that end, FR-CBF-based design conditions for both continuous and piece-wise constant zero-order hold (ZOH) control inputs are included. Moreover, to provide a concrete example of how the proposed framework could be adopted for safety-critical control applications, in this study we also investigate the voltage regulation problem for inverter-interfaced radial power distribution networks subject to adversarial injections. In that regard, sufficient conditions for both the continuous and sampled-data ZOH control are derived to guarantee finite-time recovery and safe operation of the distribution grid in accordance with the proposed resilience framework. Finally, the efficacy of the proposed results is advocated using a simulation study showing resilient grid performance in the presence of the ‘worst-case’ power injection attack, as reported in (Lindström et al. 2021).","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"3 ","pages":"497-513"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737302","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Resilient Multi-Agent Systems Against Denial of Service Attacks via Adaptive and Activatable Network Layers 通过自适应和可激活网络层抵御拒绝服务攻击的弹性多代理系统

IEEE open journal of control systems Pub Date : 2024-10-09 DOI: 10.1109/OJCSYS.2024.3477091

Deepalakshmi Babu Venkateswaran;Zhihua Qu

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Resiliency Through Collaboration in Heterogeneous Multi-Robot Systems 通过异构多机器人系统中的协作提高复原力

IEEE open journal of control systems Pub Date : 2024-09-25 DOI: 10.1109/OJCSYS.2024.3467991

Alexander A. Nguyen;Faryar Jabbari;Magnus Egerstedt

{"title":"Resiliency Through Collaboration in Heterogeneous Multi-Robot Systems","authors":"Alexander A. Nguyen;Faryar Jabbari;Magnus Egerstedt","doi":"10.1109/OJCSYS.2024.3467991","DOIUrl":"https://doi.org/10.1109/OJCSYS.2024.3467991","url":null,"abstract":"This paper examines pairwise collaborations in heterogeneous multi-robot systems. In particular, we focus on how individual robots, with different functionalities and dynamics, can enhance their resilience by forming collaborative arrangements that result in new capabilities. Control barrier functions are utilized as a mechanism to encode the safe operating regions of individual robots, with the idea being that a robot may be able to operate in new regions that it could not traverse alone by working with other robots. We explore answers to three questions: “Why should robots collaborate?”, “When should robots collaborate?”, and “How can robots collaborate?” To that end, we introduce the safely reachable set – capturing the regions that individual robots can reach safely, either with or without help, while considering their initial states and dynamics. We then describe the conditions under which a help-providing robot and a help-receiving robot can engage in collaboration. Next, we describe the pairwise collaboration framework, modeled through hybrid automata, to show how collaborations can be structured within a heterogeneous multi-robot team. Finally, we present case studies that are conducted on a team of mobile robots.","PeriodicalId":73299,"journal":{"name":"IEEE open journal of control systems","volume":"3 ","pages":"461-471"},"PeriodicalIF":0.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10693575","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0