Automatica最新文献_第8页

A hybrid deep learning method for finite-horizon mean-field game problems 有限视界平均场博弈问题的混合深度学习方法

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-28 DOI: 10.1016/j.automatica.2025.112384

Yu Zhang , Zhuo Jin , Jiaqin Wei , George Yin

引用次数: 0

Almost sure convergence of distributed optimization with imperfect information sharing 具有不完全信息共享的分布式优化的几乎肯定收敛性

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-28 DOI: 10.1016/j.automatica.2025.112391

Hadi Reisizadeh , Anand Gokhale , Behrouz Touri , Soheil Mohajer

引用次数: 0

Structure identification of time delay polynomial Hammerstein models 时滞多项式Hammerstein模型的结构辨识

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-28 DOI: 10.1016/j.automatica.2025.112386

Feng Yu, Dakuo He, Runda Jia, Zhizhong Mao

引用次数: 0

ISS-equilibrium with stability analysis for disturbed game-based impulsive systems 扰动博弈脉冲系统的iss平衡及稳定性分析

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-28 DOI: 10.1016/j.automatica.2025.112394

Wenlu Liu , Chuandong Li , Xiaodi Li

引用次数: 0

False Noise Attack Detection for differentially-private distributed control of microgrids 微电网微分私有分布式控制的假噪声攻击检测

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-28 DOI: 10.1016/j.automatica.2025.112387

Feng Ye , Xianghui Cao , Lin Cai , Mo-Yuen Chow

{"title":"False Noise Attack Detection for differentially-private distributed control of microgrids","authors":"Feng Ye , Xianghui Cao , Lin Cai , Mo-Yuen Chow","doi":"10.1016/j.automatica.2025.112387","DOIUrl":"10.1016/j.automatica.2025.112387","url":null,"abstract":"<div><div>Privacy preserving in distributed control is getting more attention, and differential privacy (DP) is the common tool to protect data privacy, in which additive noise is applied in the algorithm function. However, DP can be leveraged by false noise (FN) attacks because attack vectors can be disguised as artificial noise in DP. FN attacks are a concern as the stealth attacks are hard to detect. Moreover, DP in distributed control makes FN attack detection more difficult. Hence, detecting FN attacks in privacy-preserving distributed control is critical and challenging. In this paper, taking distributed energy management systems as the control object, we propose a novel peer-to-peer attack detection approach, named False Noise Attack Detection (FNAD). In FNAD, each device observes the power decisions of its neighbors based on the data from its two-hop neighbors, estimates the power decisions of its neighbors by a Kalman filter, and updates the detection index of each neighbor according to the residues of the Kalman filter at each iteration. The detection index is developed based on information entropy, without any prior knowledge of the FN attacks. If a device’s detection index is out of well-defined thresholds, its neighbors can perform a majority vote to decide whether it is malicious. We theoretically prove the detection effect of FNAD against three representative attacks in the literature and analyze the advantages of FNAD compared with the traditional methods. The effectiveness of FNAD is demonstrated by extensive simulations.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"179 ","pages":"Article 112387"},"PeriodicalIF":4.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Line zonotopes: A tool for state estimation and fault diagnosis of unbounded and descriptor systems 线共拓扑：无界和广义系统的状态估计和故障诊断工具

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-23 DOI: 10.1016/j.automatica.2025.112380

Brenner S. Rego , Davide M. Raimondo , Guilherme V. Raffo

{"title":"Line zonotopes: A tool for state estimation and fault diagnosis of unbounded and descriptor systems","authors":"Brenner S. Rego , Davide M. Raimondo , Guilherme V. Raffo","doi":"10.1016/j.automatica.2025.112380","DOIUrl":"10.1016/j.automatica.2025.112380","url":null,"abstract":"<div><div>This paper proposes new methods for set-based state estimation and active fault diagnosis (AFD) of linear descriptor systems (LDS). Unlike intervals, ellipsoids, and zonotopes, constrained zonotopes (CZs) can directly incorporate linear static constraints on state variables – typical of descriptor systems – into their mathematical representation, leading to less conservative enclosures. However, for LDS that are unstable or not fully observable, a bounded representation cannot ensure a valid enclosure of the states over time. To address this limitation, we introduce line zonotopes, a new representation for unbounded sets that retains key properties of CZs, including polynomial time complexity reduction methods, while enabling the description of strips, hyperplanes, and the entire <span><math><mi>n</mi></math></span>-dimensional Euclidean space. This extension not only generalizes the use of CZs to unbounded settings but can also enhance set-based estimation and AFD in both stable and unstable scenarios. Additionally, we extend the AFD method for LDS from Rego et al. (2020) to operate over reachable tubes rather than solely on the reachable set at the final time of the considered horizon. This reduces conservatism in input separation and enables more accurate fault diagnosis based on the entire output sequence. The advantages of the proposed methods over existing CZ-based approaches are demonstrated through numerical examples.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"179 ","pages":"Article 112380"},"PeriodicalIF":4.8,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 model predictive control for optimal output consensus of multi-agent systems over directed graphs 有向图上多智能体系统最优输出一致性的分布式模型预测控制

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-22 DOI: 10.1016/j.automatica.2025.112381

Nan Bai , Qishao Wang , Zhisheng Duan , Changxin Liu

引用次数: 0

An algorithm for distributed time delay identification without a priori knowledge of the kernel 一种不需要先验核知识的分布式时延识别算法

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-21 DOI: 10.1016/j.automatica.2025.112382

Tobias K.S. Ritschel , John Wyller

{"title":"An algorithm for distributed time delay identification without a priori knowledge of the kernel","authors":"Tobias K.S. Ritschel , John Wyller","doi":"10.1016/j.automatica.2025.112382","DOIUrl":"10.1016/j.automatica.2025.112382","url":null,"abstract":"<div><div>Time delays are ubiquitous in industry and nature, and they significantly affect both transient dynamics and stability properties. Consequently, it is often necessary to identify and account for the delays when, e.g., designing a model-based control strategy. However, identifying delays in differential equations is not straightforward and requires specialized methods. Furthermore, existing approaches for identifying <em>distributed</em> time delays in delay differential equations (DDEs) require that the functional form of the involved kernel (also called memory function) is known. In this work, we propose an algorithm for identifying distributed delays, which does not require a priori knowledge of the kernel. Specifically, we 1) approximate the unknown kernel in the DDEs by the probability density function of a mixed Erlang distribution and 2) use the linear chain trick (LCT) to transform the resulting DDEs into ODEs. Finally, the parameters in the kernel approximation are estimated as the solution to a dynamical maximum likelihood problem, and we use a single-shooting approach to approximate this solution. We demonstrate the efficacy of the algorithm using a numerical example that involves a point reactor kinetics model of a molten salt nuclear fission reactor.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"178 ","pages":"Article 112382"},"PeriodicalIF":4.8,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Adaptive boundary control of the Kuramoto–Sivashinsky equation under intermittent sensing 间歇感知下Kuramoto-Sivashinsky方程的自适应边界控制

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-21 DOI: 10.1016/j.automatica.2025.112379

Mohamed Camil Belhadjoudja, Mohamed Adlene Maghenem, Emmanuel Witrant, Christophe Prieur

{"title":"Adaptive boundary control of the Kuramoto–Sivashinsky equation under intermittent sensing","authors":"Mohamed Camil Belhadjoudja, Mohamed Adlene Maghenem, Emmanuel Witrant, Christophe Prieur","doi":"10.1016/j.automatica.2025.112379","DOIUrl":"10.1016/j.automatica.2025.112379","url":null,"abstract":"<div><div>We study in this paper boundary stabilization, in the <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> sense, of the perturbed Kuramoto–Sivashinsky (KS) equation subject to intermittent sensing. We assume that we measure the state on a given spatial subdomain during certain time intervals, while we measure the state on the remaining spatial subdomain during the remaining time intervals. We assign a feedback law at the boundary of the spatial domain and force to zero the value of the state at the junction of the two subdomains. Throughout the study, the equation’s destabilizing coefficient is assumed to be unknown and possibly space dependent but bounded. As a result, adaptive boundary controllers are designed under different assumptions on the perturbation. In particular, we guarantee input-to-state stability (ISS) when an upperbound on the perturbation’s size is known. Otherwise, only global uniform ultimate boundedness (GUUB) is guaranteed. In contrast, when the state is measured at every spatial point all the time (full state measurement), convergence to an arbitrarily-small neighborhood of the origin is guaranteed, even if the perturbation’s maximal size is unknown. Numerical simulations are performed to illustrate our results.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"178 ","pages":"Article 112379"},"PeriodicalIF":4.8,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Nonlinear impulsive control for stability of dynamical systems 动态系统稳定性的非线性脉冲控制

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-05-21 DOI: 10.1016/j.automatica.2025.112371

Xiaodi Li , Ying Xing , Shiji Song

引用次数: 0