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On modeling collective risk perception via opinion dynamics 通过舆论动力学建立集体风险认知模型
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101036
Lorenzo Zino , Francesca Giardini , Daniele Vilone , Ming Cao
{"title":"On modeling collective risk perception via opinion dynamics","authors":"Lorenzo Zino ,&nbsp;Francesca Giardini ,&nbsp;Daniele Vilone ,&nbsp;Ming Cao","doi":"10.1016/j.ejcon.2024.101036","DOIUrl":"10.1016/j.ejcon.2024.101036","url":null,"abstract":"<div><div>Modeling the collective response to an emergency is a problem of paramount importance in social science and risk management. Here, we leverage the social psychology literature to develop a mathematical model tailored to such a real-world problem, grounded in the opinion dynamics theory. In our model, a network of individuals revise their risk perception by processing information broadcast by the institution and shared by peers, and accounts for heterogeneity in terms of individuals’ trust in institutions, peers, and in their own risk sensitivity. Through a rigorous analysis of the model, we establish that the temporal average opinions of the individuals converge to a steady state and, under some assumptions, we are able to analytically characterize such a steady state, shedding light on how the individuals’ heterogeneous risk sensitivity shapes the collective response. Numerical results and simulations are provided to illustrate and corroborate our findings.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101036"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141408434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed online constrained convex optimization with event-triggered communication 带事件触发通信的分布式在线约束凸优化
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101042
Kunpeng Zhang , Xinlei Yi , Yuzhe Li , Ming Cao , Tianyou Chai , Tao Yang
{"title":"Distributed online constrained convex optimization with event-triggered communication","authors":"Kunpeng Zhang ,&nbsp;Xinlei Yi ,&nbsp;Yuzhe Li ,&nbsp;Ming Cao ,&nbsp;Tianyou Chai ,&nbsp;Tao Yang","doi":"10.1016/j.ejcon.2024.101042","DOIUrl":"10.1016/j.ejcon.2024.101042","url":null,"abstract":"<div><div>This paper focuses on the distributed online convex optimization problem with time-varying inequality constraints over a network of agents, where each agent collaborates with its neighboring agents to minimize the cumulative network-wide loss over time. To reduce communication overhead between the agents, we propose a distributed event-triggered online primal–dual algorithm over a time-varying directed graph. With several classes of appropriately chose decreasing parameter sequences and non-increasing event-triggered threshold sequences, we establish dynamic network regret and network cumulative constraint violation bounds. Finally, a numerical simulation example is provided to verify the theoretical results.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101042"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141510837","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
Stochastic control with distributionally robust constraints for cyber–physical systems vulnerable to attacks 为易受攻击的网络物理系统提供具有分布稳健约束的随机控制
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101044
Nishanth Venkatesh , Aditya Dave , Ioannis Faros , Andreas A. Malikopoulos
{"title":"Stochastic control with distributionally robust constraints for cyber–physical systems vulnerable to attacks","authors":"Nishanth Venkatesh ,&nbsp;Aditya Dave ,&nbsp;Ioannis Faros ,&nbsp;Andreas A. Malikopoulos","doi":"10.1016/j.ejcon.2024.101044","DOIUrl":"10.1016/j.ejcon.2024.101044","url":null,"abstract":"<div><div>In this paper, we investigate the control of a cyber–physical system (CPS) while accounting for its vulnerability to external attacks. We formulate a constrained stochastic problem with a robust constraint to ensure robust operation against potential attacks. We seek to minimize the expected cost subject to a constraint limiting the worst-case expected damage an attacker can impose on the CPS. We present a dynamic programming decomposition to compute the optimal control strategy in this robust-constrained formulation and prove its recursive feasibility. We also illustrate the utility of our results by applying them to a numerical simulation.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101044"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141530176","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
Regret optimal control for uncertain stochastic systems 不确定随机系统的遗憾优化控制
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101051
Andrea Martin , Luca Furieri , Florian Dörfler , John Lygeros , Giancarlo Ferrari-Trecate
{"title":"Regret optimal control for uncertain stochastic systems","authors":"Andrea Martin ,&nbsp;Luca Furieri ,&nbsp;Florian Dörfler ,&nbsp;John Lygeros ,&nbsp;Giancarlo Ferrari-Trecate","doi":"10.1016/j.ejcon.2024.101051","DOIUrl":"10.1016/j.ejcon.2024.101051","url":null,"abstract":"<div><div>We consider control of uncertain linear time-varying stochastic systems from the perspective of regret minimization. Specifically, we focus on the problem of designing a feedback controller that minimizes the loss relative to a clairvoyant optimal policy that has foreknowledge of both the system dynamics and the exogenous disturbances. In this competitive framework, establishing robustness guarantees proves challenging as, differently from the case where the model is known, the clairvoyant optimal policy is not only inapplicable, but also impossible to compute without knowledge of the system parameters. To address this challenge, we embrace a scenario optimization approach, and we propose minimizing regret robustly over a finite set of randomly sampled system parameters. We prove that this policy optimization problem can be solved through semidefinite programming, and that the corresponding solution retains strong probabilistic out-of-sample regret guarantees in face of the uncertain dynamics. Our method naturally extends to include satisfaction of safety constraints with high probability. We validate our theoretical results and showcase the potential of our approach by means of numerical simulations.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101051"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141578081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-driven uncertainty propagation for stochastic predictive control of multi-energy systems 多能源系统随机预测控制的数据驱动不确定性传播
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101066
M. Batu Özmeteler , Deborah Bilgic , Guanru Pan , Alexander Koch , Timm Faulwasser
{"title":"Data-driven uncertainty propagation for stochastic predictive control of multi-energy systems","authors":"M. Batu Özmeteler ,&nbsp;Deborah Bilgic ,&nbsp;Guanru Pan ,&nbsp;Alexander Koch ,&nbsp;Timm Faulwasser","doi":"10.1016/j.ejcon.2024.101066","DOIUrl":"10.1016/j.ejcon.2024.101066","url":null,"abstract":"<div><div>Stochastic predictive control schemes that account for epistemic and aleatoric uncertainties, i.e. lack of model knowledge and stochastic disturbances, are of major interest for multi-energy systems. However, there exists a trade-off between model complexity, computational effort, and accuracy of uncertainty quantification. This paper attempts to assess this trade-off by comparing a recently proposed approach combining Willems’ fundamental lemma with polynomial chaos expansion to a model-based scheme that first propagates uncertainty with PCE and then considers chance constraints in the optimization. The simulation results show that the data-driven scheme yields similar performance and computational efficiency compared to the model-based scheme, with the advantage of avoiding the construction of explicit models.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101066"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141722045","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
Uniform ultimate boundedness analysis for linear systems with asymmetric input backlash and dead-zone: A piecewise quadratic Lyapunov function approach 具有非对称输入反冲和死区的线性系统的统一极限约束性分析：片断二次Lyapunov函数方法
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101059
A. Pierron , J. Kreiss , M. Jungers , G. Millérioux , J. Dupont , M. Martig
{"title":"Uniform ultimate boundedness analysis for linear systems with asymmetric input backlash and dead-zone: A piecewise quadratic Lyapunov function approach","authors":"A. Pierron ,&nbsp;J. Kreiss ,&nbsp;M. Jungers ,&nbsp;G. Millérioux ,&nbsp;J. Dupont ,&nbsp;M. Martig","doi":"10.1016/j.ejcon.2024.101059","DOIUrl":"10.1016/j.ejcon.2024.101059","url":null,"abstract":"<div><div>This paper deals with the interconnection between a linear system and a nonlinear operator consisting of asymmetric input backlash and asymmetric dead-zone. The uniform ultimate boundedness of the system is studied. A piecewise quadratic Lyapunov function, suitable with the polyhedral description of the nonlinear operator is proposed. The conservatism of existing results is therefore reduced. The effectiveness and improvement of the results are assessed using a numerical example.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101059"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141398824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pitot tube measure-aided air velocity and attitude estimation in GNSS denied environment 全球导航卫星系统拒绝环境下的皮托管测量辅助气流速度和姿态估计
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101070
Tomas L. de Oliveira , Pieter van Goor , Tarek Hamel , Robert Mahony , Claude Samson
{"title":"Pitot tube measure-aided air velocity and attitude estimation in GNSS denied environment","authors":"Tomas L. de Oliveira ,&nbsp;Pieter van Goor ,&nbsp;Tarek Hamel ,&nbsp;Robert Mahony ,&nbsp;Claude Samson","doi":"10.1016/j.ejcon.2024.101070","DOIUrl":"10.1016/j.ejcon.2024.101070","url":null,"abstract":"<div><div><span>This paper addresses the problem of estimating air velocity and gravity direction for small autonomous fixed-wing drones in GNSS</span><span><span><sup>1</sup></span></span><span>-denied environments. The proposed solution uses a minimal sensor suite, relying on Pitot tube<span> measurements and Inertial Measurement Unit (IMU) signals, including only gyrometers and accelerometers. The approach combines the Riccati observer and Equivariant Filter designs, using an over-parametrization technique to design an observer on </span></span><span><math><mrow><mi>SO</mi><mrow><mo>(</mo><mn>3</mn><mo>)</mo></mrow><mo>×</mo><msup><mrow><mi>R</mi></mrow><mrow><mn>3</mn></mrow></msup></mrow></math></span> and subsequently re-project to <span><math><mrow><msup><mrow><mi>S</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>×</mo><msup><mrow><mi>R</mi></mrow><mrow><mn>3</mn></mrow></msup></mrow></math></span> to estimate the gravity direction. The system’s observability is analyzed, and local exponential stability of the origin of the observer error is demonstrated as long as the aircraft attitude is persistently exciting. The observer was evaluated using simulated and real flight data to showcase the estimator’s performance.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101070"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141414196","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
Special Issue on the 2024 European Control Conference 2024 年欧洲控制会议特刊
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101123
Thomas Parisini (Editor-in-Chief EJC)
{"title":"Special Issue on the 2024 European Control Conference","authors":"Thomas Parisini (Editor-in-Chief EJC)","doi":"10.1016/j.ejcon.2024.101123","DOIUrl":"10.1016/j.ejcon.2024.101123","url":null,"abstract":"","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101123"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664032","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
On controllability of temporal networks 论时空网络的可控性
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101046
Luca Claude Gino Lebon , Francesco Lo Iudice , Claudio Altafini
{"title":"On controllability of temporal networks","authors":"Luca Claude Gino Lebon ,&nbsp;Francesco Lo Iudice ,&nbsp;Claudio Altafini","doi":"10.1016/j.ejcon.2024.101046","DOIUrl":"10.1016/j.ejcon.2024.101046","url":null,"abstract":"<div><div>Temporality has been recently identified as a useful feature to exploit when controlling a complex network. Empirical evidence has in fact shown that, with respect to their static counterparts, temporal networks (i) are often endowed with larger reachable sets and (ii) require less control energy when steered towards an arbitrary target state. However, to date, we lack conditions guaranteeing that the dimension of the controllable subspace of a temporal network is larger than that of its static counterpart. In this work, we consider the case in which a static network is input connected but not controllable. We show that when the structure of the graph underlying the temporal network remains the same throughout each temporal snapshot while the (nonvanishing) edge weights vary, then the temporal network will be completely controllable almost always, even when its static counterpart is not. An upper bound on the number of snapshots needed to achieve controllability is also provided.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101046"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141510765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-driven reduced-order unknown-input observers 数据驱动的降序未知输入观测器
IF 2.5 3区 计算机科学
European Journal of Control Pub Date : 2024-11-01 DOI: 10.1016/j.ejcon.2024.101034
Giorgia Disarò, Maria Elena Valcher
{"title":"Data-driven reduced-order unknown-input observers","authors":"Giorgia Disarò,&nbsp;Maria Elena Valcher","doi":"10.1016/j.ejcon.2024.101034","DOIUrl":"10.1016/j.ejcon.2024.101034","url":null,"abstract":"<div><div>In this paper we propose a data-driven approach to the design of reduced-order unknown-input observers (rUIOs). We first recall the model-based solution, by assuming a problem set-up slightly different from those traditionally adopted in the literature, in order to be able to easily adapt it to the data-driven scenario. Necessary and sufficient conditions for the existence of a reduced-order unknown-input observer, whose matrices can be derived from a sufficiently rich set of collected historical data, are first derived and then proved to be equivalent to the ones obtained in the model-based framework. Finally, a numerical example is presented, to validate the effectiveness of the proposed scheme.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"80 ","pages":"Article 101034"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141510766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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