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Derivative-free data-driven control of continuous-time linear time-invariant systems 连续时间线性定常系统的无导数数据驱动控制
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-07-28 DOI: 10.1016/j.ejcon.2025.101309
Alessandro Bosso , Marco Borghesi , Andrea Iannelli , Giuseppe Notarstefano , Andrew R. Teel
{"title":"Derivative-free data-driven control of continuous-time linear time-invariant systems","authors":"Alessandro Bosso ,&nbsp;Marco Borghesi ,&nbsp;Andrea Iannelli ,&nbsp;Giuseppe Notarstefano ,&nbsp;Andrew R. Teel","doi":"10.1016/j.ejcon.2025.101309","DOIUrl":"10.1016/j.ejcon.2025.101309","url":null,"abstract":"<div><div>This paper develops a method for data-driven stabilization of continuous-time linear time-invariant systems with theoretical guarantees and no need for signal derivatives. The framework is based on linear matrix inequalities (LMIs) and illustrated in the state-feedback and single-input single-output output-feedback scenarios. Similar to discrete-time approaches, we rely solely on input and state/output measurements. In particular, we avoid differentiation by employing low-pass filters of the measured signals that, rather than approximating the derivatives, reconstruct a non-minimal realization of the plant. With access to the filter states and their derivatives, we can solve LMIs derived from sample batches of the available signals to compute a dynamic controller that stabilizes the plant. The effectiveness of the approach is showcased via numerical examples.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101309"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645610","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
An opinion dynamics approach to model and analyze the behavior of consumers in an energy network 意见动力学方法在能源网络中对消费者行为建模和分析
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-09-03 DOI: 10.1016/j.ejcon.2025.101370
Vaibhav Kumar Singh , Lorenzo Zino , Gabriel Muinos , Jacquelien M.A. Scherpen , Michele Cucuzzella
{"title":"An opinion dynamics approach to model and analyze the behavior of consumers in an energy network","authors":"Vaibhav Kumar Singh ,&nbsp;Lorenzo Zino ,&nbsp;Gabriel Muinos ,&nbsp;Jacquelien M.A. Scherpen ,&nbsp;Michele Cucuzzella","doi":"10.1016/j.ejcon.2025.101370","DOIUrl":"10.1016/j.ejcon.2025.101370","url":null,"abstract":"<div><div>Motivated by theories and evidence from the social psychology literature, we propose a novel continuous-time mathematical model that captures the evolution of motivation and behavior of energy consumers in a social network. In our model, consumers are connected to the energy grid and their energy demand (which we shall refer to as their behavior) is affected by their personal motivation on reducing (or increasing) their energy consumption. The motivation-behavior dynamics of each consumer is modeled using a second-order continuous-time bilinear differential equation. Each consumer has the ability to share their motivation on a social network and observe the behavior of other consumers. Using the information gathered from their peers and their personal bias about the energy consumption behavior, consumers have the ability to revise their own motivation about energy consumption and, ultimately, their behavior. Moreover, we incorporate into the model an external control action that captures the implementation of external behavioral interventions that influence the weight each consumer assigns to their own bias. Then, we use the proposed framework to shed light on the collective motivation-behavior dynamics of all the consumers, establishing conditions for the existence of equilibria, characterizing them, and performing a sensitivity analysis of such equilibria with respect to variations in the steady-state interventions provided to each consumer.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101370"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645442","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
Student usage of Lund University Pole-Zero Explorer interactive tool in automatic control teaching 学生在自动控制教学中使用隆德大学Pole-Zero Explorer交互工具
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-07-20 DOI: 10.1016/j.ejcon.2025.101313
Frida Heskebeck , Pex Tufvesson , Ask Hällström
{"title":"Student usage of Lund University Pole-Zero Explorer interactive tool in automatic control teaching","authors":"Frida Heskebeck ,&nbsp;Pex Tufvesson ,&nbsp;Ask Hällström","doi":"10.1016/j.ejcon.2025.101313","DOIUrl":"10.1016/j.ejcon.2025.101313","url":null,"abstract":"<div><div>This study examines the effectiveness of LU-PZE<span><span><sup>3</sup></span></span>, a web-based interactive tool designed to help students visualize and interact with fundamental concepts in automatic control. A total of 200 students enrolled in an introductory course on automatic control had the option to use LU-PZE as an additional resource for learning. LU-PZE offers users randomized quizzes, structured assignments, and real-time visualizations of theoretical concepts. An analysis of student usage shows that LU-PZE successfully increased student engagement and improved their understanding of automatic control principles. Student feedback also reveals that the students appreciate interactive tools for learning. These findings suggest that LU-PZE can be a valuable tool for teachers to promote active learning and enhance student outcomes in introductory courses in automatic control.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101313"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645445","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
Feedback design for biological control by the sterile insect release technique exploiting monotone system theory 利用单调系统理论的昆虫不育释放技术生物防治反馈设计
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-07-31 DOI: 10.1016/j.ejcon.2025.101292
Amit Bhaya , Pierre-Alexandre Bliman
{"title":"Feedback design for biological control by the sterile insect release technique exploiting monotone system theory","authors":"Amit Bhaya ,&nbsp;Pierre-Alexandre Bliman","doi":"10.1016/j.ejcon.2025.101292","DOIUrl":"10.1016/j.ejcon.2025.101292","url":null,"abstract":"<div><div>The Sterile Insect Technique (SIT) is a promising control method against insect pests and insect vectors. It consists in releasing males previously sterilized in laboratory, in order to reduce or eliminate a specific wild population. We study the implementation of SIT-based elimination campaign of <em>Aedes</em> mosquitoes using feedback control. We provide state-feedback and output-feedback control laws and establish their convergence, as well as their robustness properties. In this design procedure, a pivotal role is played by the use of properties of monotone systems. Simple illustrative simulations are provided.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101292"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645448","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
Distributed time-varying Gaussian process regression via Kalman filtering 基于卡尔曼滤波的分布时变高斯过程回归
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-09-03 DOI: 10.1016/j.ejcon.2025.101371
Nicola Taddei , Riccardo Maggioni , Jaap Eising , Giulia De Pasquale , Florian Dörfler
{"title":"Distributed time-varying Gaussian process regression via Kalman filtering","authors":"Nicola Taddei ,&nbsp;Riccardo Maggioni ,&nbsp;Jaap Eising ,&nbsp;Giulia De Pasquale ,&nbsp;Florian Dörfler","doi":"10.1016/j.ejcon.2025.101371","DOIUrl":"10.1016/j.ejcon.2025.101371","url":null,"abstract":"<div><div>We consider the problem of learning time-varying functions in a distributed fashion, where agents collect local information to collaboratively achieve a shared estimate. This task is particularly relevant in control applications, whenever real-time and robust estimation of dynamic cost/reward functions in safety critical settings has to be performed. In this paper, we adopt a finite-dimensional approximation of a Gaussian process, corresponding to a Bayesian linear regression in an appropriate feature space, and propose a new algorithm, DistKP, to track the time-varying coefficients via a distributed Kalman filter. The proposed method works for arbitrary kernels and under weaker assumptions on the time-evolution of the function to learn compared to the literature. We validate our results using a simulation example in which a fleet of Unmanned Aerial Vehicles (UAVs) learns a dynamically changing wind field.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101371"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645536","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
Input-to-task redundancy and dynamic control allocation for multi-agent systems 多智能体系统的输入任务冗余与动态控制分配
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-07-21 DOI: 10.1016/j.ejcon.2025.101287
Lorenzo Govoni, Andrea Cristofaro
{"title":"Input-to-task redundancy and dynamic control allocation for multi-agent systems","authors":"Lorenzo Govoni,&nbsp;Andrea Cristofaro","doi":"10.1016/j.ejcon.2025.101287","DOIUrl":"10.1016/j.ejcon.2025.101287","url":null,"abstract":"<div><div>This paper introduces the notion of input-to-task redundancy in multi-agent systems and extends the dynamic control allocation paradigm to input-constrained multi-agent systems. In particular, it is shown that a proper selection of a subset of the system outputs can entail a weak redundancy condition with respect to a given task to be executed, thereby providing additional degrees of freedom to cope with potential input constraints. Moreover, we propose a way of quantitatively characterizing the additional freedom in the controllability of the system by means of a <em>redundancy degree</em> suitably defined. The efficacy of the approach has been tested and validated by numerical simulations in a platooning application.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101287"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645410","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
Homogeneous predictor feedback for a 1D reaction–diffusion equation with input delay 具有输入延迟的一维反应扩散方程的齐次预测反馈
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-09-02 DOI: 10.1016/j.ejcon.2025.101363
Mericel Ayamou , Nicolas Espitia , Andrey Polyakov , Emilia Fridman
{"title":"Homogeneous predictor feedback for a 1D reaction–diffusion equation with input delay","authors":"Mericel Ayamou ,&nbsp;Nicolas Espitia ,&nbsp;Andrey Polyakov ,&nbsp;Emilia Fridman","doi":"10.1016/j.ejcon.2025.101363","DOIUrl":"10.1016/j.ejcon.2025.101363","url":null,"abstract":"<div><div>This paper deals with nonlinear boundary stabilization of a 1D reaction–diffusion equation with input delay. Using the modal decomposition approach, we propose a <em>homogeneous</em>-based predictor feedback for stabilizing the unstable modes. We prove the stability of the closed-loop system via the construction of a suitable Lyapunov functional. We present numerical simulations to support the analytical results and compare our proposed controller to linear predictor feedback regarding closed-loop performance and peaking effect.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101363"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645532","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
Convergence rate of payoff-based generalized Nash equilibrium learning 基于收益的广义纳什均衡学习的收敛速度
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-09-03 DOI: 10.1016/j.ejcon.2025.101372
Tatiana Tatarenko , Maryam Kamgarpour
{"title":"Convergence rate of payoff-based generalized Nash equilibrium learning","authors":"Tatiana Tatarenko ,&nbsp;Maryam Kamgarpour","doi":"10.1016/j.ejcon.2025.101372","DOIUrl":"10.1016/j.ejcon.2025.101372","url":null,"abstract":"<div><div>We consider generalized Nash equilibrium (GNE) problems in games with strongly monotone pseudo-gradients and jointly linear coupling constraints. We establish the convergence rate of a payoff-based approach intended to learn a variational GNE (v-GNE) in such games. While convergent algorithms have recently been proposed in this setting given full or partial information of the gradients, rate of convergence in the payoff-based information setting has been an open problem. Leveraging properties of a game extended from the original one by a dual player, we establish a convergence rate of <span><math><mrow><mi>O</mi><mrow><mo>(</mo><mfrac><mrow><mn>1</mn></mrow><mrow><msup><mrow><mi>t</mi></mrow><mrow><mn>4</mn><mo>/</mo><mn>7</mn></mrow></msup></mrow></mfrac><mo>)</mo></mrow></mrow></math></span> to a v-GNE of the game.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101372"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645537","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
Data-driven min–max MPC for LPV systems with unknown scheduling signal 具有未知调度信号的LPV系统的数据驱动最小-最大MPC
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-09-03 DOI: 10.1016/j.ejcon.2025.101373
Yifan Xie, Julian Berberich, Felix Brändle, Frank Allgöwer
{"title":"Data-driven min–max MPC for LPV systems with unknown scheduling signal","authors":"Yifan Xie,&nbsp;Julian Berberich,&nbsp;Felix Brändle,&nbsp;Frank Allgöwer","doi":"10.1016/j.ejcon.2025.101373","DOIUrl":"10.1016/j.ejcon.2025.101373","url":null,"abstract":"<div><div>This paper presents a data-driven min–max model predictive control (MPC) scheme for linear parameter-varying (LPV) systems. The goal is to steer the system to the origin while ensuring that the closed-loop system satisfies input and state constraints. Contrary to existing data-driven LPV control approaches, we assume that the scheduling signal is unknown during offline data collection and online system operation. Assuming a quadratic matrix inequality (QMI) description for the scheduling signal, we develop a novel data-driven characterization of the consistent system matrices using only input-state data. The proposed data-driven min–max MPC minimizes a tractable upper bound on the worst-case cost over the consistent system matrices set and all scheduling signals satisfying the QMI. The proposed approach guarantees recursive feasibility, closed-loop exponential stability and constraint satisfaction if it is feasible at the initial time. We demonstrate the effectiveness of the proposed method in simulation.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101373"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645538","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
Fault-tolerant prescribed performance control for a class of uncertain nonlinear systems 一类不确定非线性系统的容错规定性能控制
IF 2.6 3区 计算机科学
European Journal of Control Pub Date : 2025-11-01 Epub Date: 2025-09-02 DOI: 10.1016/j.ejcon.2025.101362
Lampros N. Bikas, Anastasia-Kyriaki G. Mavridou, George A. Rovithakis
{"title":"Fault-tolerant prescribed performance control for a class of uncertain nonlinear systems","authors":"Lampros N. Bikas,&nbsp;Anastasia-Kyriaki G. Mavridou,&nbsp;George A. Rovithakis","doi":"10.1016/j.ejcon.2025.101362","DOIUrl":"10.1016/j.ejcon.2025.101362","url":null,"abstract":"<div><div>This paper addresses the enhancement of prescribed performance control (PPC) robustness under inelastic actuator faults. PPC is a control strategy that enforces user-defined bounds on output tracking errors to ensure desired transient and steady-state performance, assuming ideal actuator functioning. However, actuator faults compromise this guarantee, risking violation of performance bounds and potential system instability. To overcome this limitation, a robust modification of the conventional PPC is proposed, capable of effectively managing errors during performance bound violations while maintaining closed-loop stability. The approach ensures finite-time error recovery to the prescribed bounds once faults are mitigated, without relying on fault detection mechanisms, thereby simplifying the control scheme. Theoretical analysis confirms the stability and robustness of the proposed controller, and simulation studies validate its effectiveness.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101362"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645531","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
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