Automatica最新文献_第3页

Discrete-time, normalized recursive least squares based concurrent learning for online function approximation

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-15 DOI: 10.1016/j.automatica.2025.112273

Ouboti Djaneye-Boundjou, Raúl Ordóñez

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引用次数: 0

Set-membership estimation for nonlinear systems based on zonotope analysis

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-15 DOI: 10.1016/j.automatica.2025.112278

Hao Yang , Huaicheng Yan , Zhichen Li , Meng Wang , Fuwen Yang

引用次数: 0

Constructive approximate solutions to classes of state-feedback control problems for stochastic nonlinear systems 随机非线性系统状态反馈控制问题类别的建设性近似解

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-15 DOI: 10.1016/j.automatica.2025.112280

Zilong Gong , Thulasi Mylvaganam , Giordano Scarciotti

引用次数: 0

Variable Projection algorithms: Theoretical insights and a novel approach for problems with large residual 变量投影算法：理论见解和处理大残差问题的新方法

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-14 DOI: 10.1016/j.automatica.2025.112300

Guangyong Chen , Peng Xue , Min Gan , Jing Chen , Wenzhong Guo , C.L. Philip Chen

{"title":"Variable Projection algorithms: Theoretical insights and a novel approach for problems with large residual","authors":"Guangyong Chen , Peng Xue , Min Gan , Jing Chen , Wenzhong Guo , C.L. Philip Chen","doi":"10.1016/j.automatica.2025.112300","DOIUrl":"10.1016/j.automatica.2025.112300","url":null,"abstract":"<div><div>This paper delves into an in-depth exploration of the Variable Projection (VP) algorithm, a powerful tool for solving separable nonlinear optimization problems across multiple domains, including system identification, image processing, and machine learning. We first establish a theoretical framework to examine the effect of the approximate treatment of the coupling relationship among parameters on the local convergence of the VP algorithm and theoretically prove that the Kaufman’s VP algorithm can achieve a similar convergence rate as the Golub & Pereyra’s form. These studies fill the gap in the existing convergence theory analysis, and provide a solid foundation for understanding the mechanism of VP algorithm and broadening its application horizons. Furthermore, inspired by these theoretical insights, we design a refined VP algorithm, termed VPLR, to address separable nonlinear optimization problems with large residual. This algorithm enhances convergence performance by addressing the coupling relationship between parameters in separable models and continually refining the approximated Hessian matrix to counteract the influence of large residual. The effectiveness of this refined algorithm is corroborated through numerical experiments.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"177 ","pages":"Article 112300"},"PeriodicalIF":4.8,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829158","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

Angle-constrained distributed formation control with disturbance rejection

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-12 DOI: 10.1016/j.automatica.2025.112314

Cheng Peng, Jie Huang

引用次数: 0

Distributed state estimation and fault diagnosis for networked systems under jointly connected switching networks

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-12 DOI: 10.1016/j.automatica.2025.112303

Limei Liang , Rong Su , Shuai Liu

{"title":"Distributed state estimation and fault diagnosis for networked systems under jointly connected switching networks","authors":"Limei Liang , Rong Su , Shuai Liu","doi":"10.1016/j.automatica.2025.112303","DOIUrl":"10.1016/j.automatica.2025.112303","url":null,"abstract":"<div><div>In this paper, the distributed state estimation of the target system and the distributed fault diagnosis of the sensor network are investigated for networked systems under jointly connected switching networks. In this scenario, to eliminate the effect of external disturbance, we first construct a distributed observer system consisting of <span><math><mi>N</mi></math></span> distributed unknown input observers (UIOs), each of which is located on the sensor and can only access the partial input and output information of the target system and the transmitted state estimation from its neighbors. Owing to the limitation of communication conditions, the network topology of the distributed observer system is often time-varying and disconnected. To solve this problem, a novel observer parameter design method is proposed, which overcomes the limitation that the existing techniques can only rely on fast switching to estimate the state of the target system. On this basis, a distributed sensor fault diagnosis scheme based on the observer system is designed and its performance is analyzed. In addition, a faulty sensor replacement strategy based on graph theory and system detectability is proposed to ensure that the faulty sensors will not affect the state estimation performance of the distributed observer system. Finally, an illustrative example is introduced to verify the effectiveness of the proposed scheme.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"177 ","pages":"Article 112303"},"PeriodicalIF":4.8,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143823200","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

Remote secure fusion estimation of cyber–physical systems under false data injection attacks

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-11 DOI: 10.1016/j.automatica.2025.112271

Mengping Xing , Jianquan Lu , Yang Liu

{"title":"Remote secure fusion estimation of cyber–physical systems under false data injection attacks","authors":"Mengping Xing , Jianquan Lu , Yang Liu","doi":"10.1016/j.automatica.2025.112271","DOIUrl":"10.1016/j.automatica.2025.112271","url":null,"abstract":"<div><div>This paper discusses the secure fusion estimation issue for cyber–physical systems subject to malicious attacks. Smart sensors equipped with computing modules transmit local posteriori estimations to remote fusion center through wireless communication channels. The transmission process is considered to be vulnerable to false data injection attacks. Therefore, to enhance the resilient of the estimator, protection and fusion strategies are collaboratively designed under cases where the attack information is unavailable or partially available. Noteworthy, instead of using innovation information from smart sensors, a set of auxiliary data transmitted along with local estimations is utilized for attack detection at the remote side. Then, according to the detection signal, the protector at each instant decides whether to drop the received estimations directly, and whether to take compensation measures. Further, the evolution and convergence results of fusion estimation covariance under different cases are analytically derived, and the comparisons of the convergence results are also theoretically deduced. Besides, most of existing achievements on fusion estimation are derived by utilizing local optimal Kalman filter, which implies that the fusion estimation may not be globally optimal and can be further improved. Thus, based on the analysis of steady-state and convergence of error covariance for Kalman filter, a novel iterative procedure for updating the local filter gains is proposed as the first attempt to further reduce fusion estimation error. Several examples including practical application in radar tracking and microgrids are finally provided to verify the derived results.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"177 ","pages":"Article 112271"},"PeriodicalIF":4.8,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817055","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

Velocity-free task-space regulator for robot manipulators with external disturbances

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-11 DOI: 10.1016/j.automatica.2025.112294

Haiwen Wu , Bayu Jayawardhana , Dabo Xu

引用次数: 0

Stochastic Nash equilibrium seeking for players with linear dynamics

IF 4.8 2区计算机科学

Automatica Pub Date : 2025-04-10 DOI: 10.1016/j.automatica.2025.112312

Xiongnan He, Zongli Lin

引用次数: 0

Convex operator-theoretic methods in stochastic control