Automatica最新文献_第4页

A recursive filtering approach to power harmonic detection with stochastic communication delays: Tackling amplify-and-forward relays 利用随机通信延迟进行功率谐波检测的递归滤波方法：解决放大-前向中继问题

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-03 DOI: 10.1016/j.automatica.2024.111968

Guhui Li , Zidong Wang , Xingzhen Bai , Zhongyi Zhao , Yezheng Wang

{"title":"A recursive filtering approach to power harmonic detection with stochastic communication delays: Tackling amplify-and-forward relays","authors":"Guhui Li , Zidong Wang , Xingzhen Bai , Zhongyi Zhao , Yezheng Wang","doi":"10.1016/j.automatica.2024.111968","DOIUrl":"10.1016/j.automatica.2024.111968","url":null,"abstract":"<div><div>This paper focuses on the power harmonic detection problem in smart grids with relay transmissions and stochastic communication delays. A model is established using an orthogonal vector to capture the dynamics of harmonic signals with direct current attenuation components. For the assurance of reliable information delivery, a strategy employing an amplify-and-forward relay with stochastic transmission power is used to schedule data from sensors to the remote filter. Furthermore, a set of random variables that obey Bernoulli distributions is used to characterize the stochastic nature of the communication delays. With the goal of achieving accurate power harmonic detection, a recursive filtering algorithm is aimed to be designed in the presence of the amplify-and-forward relay strategy and stochastic communication delays, which ensures that the desired filter gain parameter is derived recursively by minimizing the upper bound on the filtering error covariance. Ultimately, the effectiveness of the proposed filtering algorithm is demonstrated through simulation experiments on power harmonic detection, thereby verifying its capability in tracking harmonic dynamics.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421962","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

Robust finite-time stabilization of linear systems with limited state quantization 具有有限状态量化的线性系统的稳健有限时间稳定

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-03 DOI: 10.1016/j.automatica.2024.111967

Yu Zhou, Andrey Polyakov, Gang Zheng

引用次数: 0

Parallelized robust distributed model predictive control in the presence of coupled state constraints 存在耦合状态约束时的并行稳健分布式模型预测控制

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-03 DOI: 10.1016/j.automatica.2024.111952

Adrian Wiltz, Fei Chen, Dimos V. Dimarogonas

引用次数: 0

A generalized projection estimation algorithm 通用投影估算算法

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-02 DOI: 10.1016/j.automatica.2024.111942

Patrizio Tomei, Riccardo Marino

{"title":"A generalized projection estimation algorithm","authors":"Patrizio Tomei, Riccardo Marino","doi":"10.1016/j.automatica.2024.111942","DOIUrl":"10.1016/j.automatica.2024.111942","url":null,"abstract":"<div><div>Given a linear regression model in discrete-time containing a vector of <span><math><mi>p</mi></math></span> constant uncertain parameters, this paper addresses the problem of designing an exponentially convergent parameter estimation algorithm, even when the regressor vector is not persistently exciting (not even in a finite time interval). On the basis of the definition of lack of persistency of excitation of order <span><math><mi>q</mi></math></span> for the regressor vector, <span><math><mrow><mn>0</mn><mo>≤</mo><mi>q</mi><mo>≤</mo><mi>p</mi></mrow></math></span> (which coincides with the classical definition of persistency of excitation when <span><math><mrow><mi>q</mi><mo>=</mo><mn>0</mn></mrow></math></span>), a generalized projection estimation algorithm is proposed which guarantees global exponential convergence of the parameter estimation error and allows for the on-line computation of the order <span><math><mi>q</mi></math></span> of the lack of persistency of excitation. When the lack of persistency of excitation is of order zero, global exponential convergence to zero of the parameter estimation error is obtained, recovering a well-known result and the projection estimation algorithm as a special case.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421275","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

Reconfigurability evaluation and design for control systems with actuator fault and saturation 执行器故障和饱和情况下控制系统的可重构性评估和设计

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-02 DOI: 10.1016/j.automatica.2024.111941

Yuanyuan Tu , Dayi Wang , Chengrui Liu , Xiangyan Zhang

引用次数: 0

Edges’ Riemannian energy analysis for synchronization of multi-agent nonlinear systems over undirected weighted graphs 无向加权图上多代理非线性系统同步的边的黎曼能量分析

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-02 DOI: 10.1016/j.automatica.2024.111950

Alexandre Cellier-Devaux , Daniele Astolfi , Vincent Andrieu

引用次数: 0

Remote state estimation with privacy against active eavesdroppers 针对主动窃听者的隐私远程状态估计

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-02 DOI: 10.1016/j.automatica.2024.111932

Matthew J. Crimson, Justin M. Kennedy, Daniel E. Quevedo

{"title":"Remote state estimation with privacy against active eavesdroppers","authors":"Matthew J. Crimson, Justin M. Kennedy, Daniel E. Quevedo","doi":"10.1016/j.automatica.2024.111932","DOIUrl":"10.1016/j.automatica.2024.111932","url":null,"abstract":"<div><div>This paper considers a cyber–physical system under an active eavesdropping attack. A remote legitimate user estimates the state of a linear plant from the state information received from a sensor. Transmissions from the sensor occur via an insecure and unreliable network. An active eavesdropper may perform an attack during system operation. The eavesdropper intercepts transmissions from the sensor, whilst simultaneously sabotaging the data transfer from the sensor to the remote legitimate user to harm its estimation performance. To maintain state confidentiality, we propose an encoding scheme that is activated on the detection of an eavesdropper. Our scheme transmits noise based on a pseudo-random indicator, pre-arranged at the legitimate user and sensor. The transmission of noise harms the eavesdropper’s performance, more than that of the legitimate user. Using the proposed encoding scheme, we impair the eavesdropper’s expected estimation performance, whilst minimizing expected performance degradation at the legitimate user. We explore the trade-off between state confidentiality and legitimate user performance degradation by selecting the probability that the sensor transmits noise. Under certain design choices, the trace of the expected estimation error covariance of the eavesdropper is greater than that of the legitimate user. Numerical examples are provided to illustrate the proposed encoding scheme.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Rendezvous analysis and control design for multiple mobile agents with preserved network connectivity on hyperboloid 双曲面上保留网络连接的多移动代理的交会分析与控制设计

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-02 DOI: 10.1016/j.automatica.2024.111965

Xiaoyu Li , Yuhu Wu , Lining Ru

引用次数: 0

Stable reduced-rank VAR identification 稳定的缩减秩 VAR 识别

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-02 DOI: 10.1016/j.automatica.2024.111961

Xinhui Rong, Victor Solo

引用次数: 0

Semi-global synchronization of stochastic mixed time-delay systems with Lévy Noise under aperiodic intermittent delayed sampled-data control 在非周期性间歇延迟采样数据控制下具有莱维噪声的随机混合时延系统的半全局同步化

IF 4.8 2区计算机科学

Automatica Pub Date : 2024-10-02 DOI: 10.1016/j.automatica.2024.111963

Ning Zhang , Zheng Wang , Ju H. Park , Wenxue Li

{"title":"Semi-global synchronization of stochastic mixed time-delay systems with Lévy Noise under aperiodic intermittent delayed sampled-data control","authors":"Ning Zhang , Zheng Wang , Ju H. Park , Wenxue Li","doi":"10.1016/j.automatica.2024.111963","DOIUrl":"10.1016/j.automatica.2024.111963","url":null,"abstract":"<div><div>This article studies the semi-globally exponential synchronization of stochastic mixed time-delay systems with Lévy noise (SMTDSLN) under aperiodic intermittent delayed sampled-data control (AIDSC). Thereinto, a new aperiodic intermittent sampled-data control, which is aperiodically intermittent and samples at a past interval but not a moment, is proposed. Secondly, considering the coupling factor, we utilize the vertex Lyapunov–Krasovskii (L–K) functional and combine the graph theory method to construct the global L–K functional and give its properties. This construction method is introduced for the first time in studying the semi-globally exponential synchronization of SMTDSLN. Next, combined with Halanay inequality, sufficient conditions for semi-global synchronization of SMTDSLN under AIDSC are given, including estimations of the non-control rate and the relationship between the initial condition range and AIDSC. Finally, we apply these results to bidirectional associative memory neural networks (BAMNNs) and give two corresponding numerical examples to demonstrate the validity of the theoretical results.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421960","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