Ieee-Caa Journal of Automatica Sinica最新文献_第8页

Finite-Time Stabilization for Constrained Discrete-time Systems by Using Model Predictive Control 利用模型预测控制实现受限离散时间系统的有限时间稳定

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2024.124212

Bing Zhu;Xiaozhuoer Yuan;Li Dai;Zhiwen Qiang

引用次数: 0

Self-Triggered Set Stabilization of Boolean Control Networks and Its Applications 布尔控制网络的自触发集稳定及其应用

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2023.124050

Rong Zhao;Jun-e Feng;Dawei Zhang

{"title":"Self-Triggered Set Stabilization of Boolean Control Networks and Its Applications","authors":"Rong Zhao;Jun-e Feng;Dawei Zhang","doi":"10.1109/JAS.2023.124050","DOIUrl":"https://doi.org/10.1109/JAS.2023.124050","url":null,"abstract":"Set stabilization is one of the essential problems in engineering systems, and self-triggered control (STC) can save the storage space for interactive information, and can be successfully applied in networked control systems with limited communication resources. In this study, the set stabilization problem and STC design of Boolean control networks are investigated via the semi-tensor product technique. On the one hand, the largest control invariant subset is calculated in terms of the strongly connected components of the state transition graph, by which a graph-theoretical condition for set stabilization is derived. On the other hand, a characteristic function is exploited to determine the triggering mechanism and feasible controls. Based on this, the minimum-time and minimum-triggering open-loop, state-feedback and output-feedback STCs for set stabilization are designed, respectively. As classic applications of self-triggered set stabilization, self-triggered synchronization, self-triggered output tracking and self-triggered output regulation are discussed as well. Additionally, several practical examples are given to illustrate the effectiveness of theoretical results.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"11 7","pages":"1631-1642"},"PeriodicalIF":11.8,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Deep Reinforcement Learning or Lyapunov Analysis? A Preliminary Comparative Study on Event-Triggered Optimal Control 深度强化学习还是李亚普诺夫分析？事件触发优化控制的初步比较研究

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2024.124434

Jingwei Lu;Lefei Li;Qinglai Wei;Fei–Yue Wang

引用次数: 0

Long Duration Coverage Control of Multiple Robotic Surface Vehicles Under Battery Energy Constraints 电池能量限制下多个机器人水面飞行器的长时间覆盖控制

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2023.123438

Shengnan Gao;Zhouhua Peng;Haoliang Wang;Lu Liu;Dan Wang

{"title":"Long Duration Coverage Control of Multiple Robotic Surface Vehicles Under Battery Energy Constraints","authors":"Shengnan Gao;Zhouhua Peng;Haoliang Wang;Lu Liu;Dan Wang","doi":"10.1109/JAS.2023.123438","DOIUrl":"https://doi.org/10.1109/JAS.2023.123438","url":null,"abstract":"Dear Editor, This letter addresses long duration coverage problem of multiple robotic surface vehicles (RSVs) subject to battery energy constraints, in addition to uncertainties and disturbances. An anti-disturbance energy-aware control method is proposed for performing coverage task of RSVs. Firstly, a centroidal Voronoi tessellation (CVT) is used to optimize the partition of the given coverage area. The optimal position for each vehicle corresponds to the centroid of the Voronoi cell. Secondly, by consisting two battery energy control barrier functions, an energy-aware kinematic guidance law is designed to drive each RSV to the optimal position. Finally, an anti-disturbance fixed-time kinetic control law is designed for each RSV to track the desired speed based on the fixed-time extended state observer and nonlinear tracking differentiator. By the control method, RSVs are capable of achieving the long duration coverage within the given coverage area. Simulation results verify the effectiveness of the proposed anti-disturbance energy-aware control method for multi-RSV.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"11 7","pages":"1695-1698"},"PeriodicalIF":11.8,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10555238","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

A LiDAR Point Clouds Dataset of Ships in a Maritime Environment 海洋环境中船舶的激光雷达点云数据集

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2024.124275

Qiuyu Zhang;Lipeng Wang;Hao Meng;Wen Zhang;Genghua Huang

引用次数: 0

Interpolated Bumpless Transfer Control for Asynchronously Switched Linear Systems 异步切换线性系统的插值无缓冲传输控制

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2023.124155

Shengao Lu;Tong Wu;Lixian Zhang;Jianan Yang;Ye Liang

引用次数: 0

Prescribed Performance Tracking Control of Time-Delay Nonlinear Systems With Output Constraints 具有输出约束条件的时延非线性系统的规定性能跟踪控制

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2023.123831

Jin-Xi Zhang;Kai-Di Xu;Qing-Guo Wang

{"title":"Prescribed Performance Tracking Control of Time-Delay Nonlinear Systems With Output Constraints","authors":"Jin-Xi Zhang;Kai-Di Xu;Qing-Guo Wang","doi":"10.1109/JAS.2023.123831","DOIUrl":"https://doi.org/10.1109/JAS.2023.123831","url":null,"abstract":"The problem of prescribed performance tracking control for unknown time-delay nonlinear systems subject to output constraints is dealt with in this paper. In contrast with related works, only the most fundamental requirements, i.e., boundedness and the local Lipschitz condition, are assumed for the allowable time delays. Moreover, we focus on the case where the reference is unknown beforehand, which renders the standard prescribed performance control designs under output constraints infeasible. To conquer these challenges, a novel robust prescribed performance control approach is put forward in this paper. Herein, a reverse tuning function is skillfully constructed and automatically generates a performance envelop for the tracking error. In addition, a unified performance analysis framework based on proof by contradiction and the barrier function is established to reveal the inherent robustness of the control system against the time delays. It turns out that the system output tracks the reference with a preassigned settling time and good accuracy, without constraint violations. A comparative simulation on a two-stage chemical reactor is carried out to illustrate the above theoretical findings.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"11 7","pages":"1557-1565"},"PeriodicalIF":11.8,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks SDGNN：保对称双流图神经网络

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2024.124410

Jiufang Chen;Ye Yuan;Xin Luo

{"title":"SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks","authors":"Jiufang Chen;Ye Yuan;Xin Luo","doi":"10.1109/JAS.2024.124410","DOIUrl":"https://doi.org/10.1109/JAS.2024.124410","url":null,"abstract":"Dear Editor, This letter proposes a symmetry-preserving dual-stream graph neural network (SDGNN) for precise representation learning to an undirected weighted graph (UWG). Although existing graph neural networks (GNNs) are influential instruments for representation learning to a UWG, they invariably adopt a unique node feature matrix for illustrating the sole node set of a UWG. Such a modeling strategy can limit the representation learning ability due to the diminished feature space. To this end, the proposed SDGNN innovatively adopts the following two-fold ideas: 1) Building a dual-stream graph learning framework that tolerates multiple node feature matrices for boosting the representation learning ability; 2) Integrating a symmetry regularization term into the learning objective for implying the equality constraint among its multiple node feature matrices, which exemplifies a graph's intrinsic symmetry and prompts learning the multiple node embeddings jointly. Experiments on six real-world UWG datasets indicate that the proposed SDGNN has superior performance in addressing the task of missing link estimation compared with the state-of-the-art baselines.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"11 7","pages":"1717-1719"},"PeriodicalIF":11.8,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10555245","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Fuzzy-Inverse-Model-Based Networked Tracking Control Frameworks of Time-Varying Signals 基于模糊逆模型的时变信号网络化跟踪控制框架

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2024.124293

Shiwen Tong;Dianwei Qian;Keya Yuan;Dexin Liu;Yuan Li;Jiancheng Zhang

引用次数: 0

Disturbance Observer-Based Predictive Tracking Control of Uncertain HOFA Cyber-Physical Systems 基于扰动观测器的不确定 HOFA 网络物理系统预测跟踪控制

IF 11.8 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI: 10.1109/JAS.2023.124080

Da-Wei Zhang;Guo-Ping Liu

引用次数: 0