Ieee-Caa Journal of Automatica Sinica最新文献_第9页

GPIO-Based Continuous Sliding Mode Control for Networked Control Systems Under Communication Delays with Experiments on Servo Motors 通信延迟下基于gpio的网络控制系统连续滑模控制与伺服电机实验

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-22 DOI: 10.1109/JAS.2024.124812

Kamal Rsetam;Zhenwei Cao;Zhihong Man;Xian-Ming Zhang

{"title":"GPIO-Based Continuous Sliding Mode Control for Networked Control Systems Under Communication Delays with Experiments on Servo Motors","authors":"Kamal Rsetam;Zhenwei Cao;Zhihong Man;Xian-Ming Zhang","doi":"10.1109/JAS.2024.124812","DOIUrl":"https://doi.org/10.1109/JAS.2024.124812","url":null,"abstract":"To handle input and output time delays that com-monly exist in many networked control systems (NCSs), a new robust continuous sliding mode control (CSMC) scheme is proposed for the output tracking in uncertain single input-single-out-put (SISO) networked control systems. This scheme consists of three consecutive steps. First, although the network-induced delay in those systems can be effectively handled by using Pade approximation (PA), the unmatched disturbance cames out as another difficulty in the control design. Second, to actively estimate this unmatched disturbance, a generalized proportional integral observer (GPIO) technique is utilized based on only one measured state. Third, by constructing a new sliding manifold with the aid of the estimated unmatched disturbance and states, a GPIO-based CSMC is synthesized, which is employed to cope with not only matched and unmatched disturbances, but also net-work-induced delays. The stability of the entire closed-loop system under the proposed GPIO-based CSMC is detailedly analyzed. The promising tracking efficiency and feasibility of the proposed control methodology are verified through simulations and experiments on Quanser's servo module for motion control under various test conditions.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"99-113"},"PeriodicalIF":15.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993542","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

Self-Triggered Impulsive Control for Nonlinear Stochastic Systems 非线性随机系统的自触发脉冲控制

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-22 DOI: 10.1109/JAS.2024.124581

Tao Zhan;Yi Ji;Yabin Gao;Hongyi Li;Yuanqing Xia

引用次数: 0

Output Consensus of Heterogeneous Linear MASs via Adaptive Event-Triggered Feedback Combination Control 基于自适应事件触发反馈组合控制的非均匀线性质量输出一致性

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI: 10.1109/JAS.2024.124725

Shuo Yuan;Chengpu Yu;Jian Sun

引用次数: 0

Strong Current-State Opacity Verification of Discrete-Event Systems Modeled with Time Labeled Petri Nets 用时间标记Petri网建模的离散事件系统的强电流状态不透明性验证

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI: 10.1109/JAS.2024.124560

Tao Qin;Li Yin;Gaiyun Liu;Naiqi Wu;Zhiwu Li

{"title":"Strong Current-State Opacity Verification of Discrete-Event Systems Modeled with Time Labeled Petri Nets","authors":"Tao Qin;Li Yin;Gaiyun Liu;Naiqi Wu;Zhiwu Li","doi":"10.1109/JAS.2024.124560","DOIUrl":"https://doi.org/10.1109/JAS.2024.124560","url":null,"abstract":"This paper addresses the verification of strong cur-rent-state opacity with respect to real-time observations gener-ated from a discrete-event system that is modeled with time labeled Petri nets. The standard current-state opacity cannot completely characterize higher-level security. To ensure the higher-level security requirements of a time-dependent system, we propose a strong version of opacity known as strong current-state opacity. For any path (state-event sequence with time information) π derived from a real-time observation that ends at a secret state, the strong current-state opacity of the real-time observation signifies that there is a non-secret path with the same real-time observation as π. We propose general and non-secret state class graphs, which characterize the general and non-secret states of time-dependent systems, respectively. To capture the observable behavior of non-secret states, a non-secret observer is proposed. Finally, we develop a structure called a real-time concurrent verifier to verify the strong current-state opacity of time labeled Petri nets. This approach is efficient since the real-time concurrent ver-ifier can be constructed by solving a certain number of linear programming problems.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"54-68"},"PeriodicalIF":15.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993835","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

Physical Layer Security Scheme With AoI-Awareness for Industrial IoT Based on Covert Communications 基于隐蔽通信的工业物联网aoi感知物理层安全方案

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI: 10.1109/JAS.2024.124770

Yaping Li;Zhi-Xin Liu;Jia-Wei Su;Ya-Zhou Yuan

引用次数: 0

Interpretable Data-Driven Learning with Fast Ultrasonic Detection for Battery Health Estimation 可解释的数据驱动学习与快速超声检测电池健康估计

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI: 10.1109/JAS.2024.124722

Kailong Liu;Yuhang Liu;Qiao Peng;Naxin Cui;Chenghui Zhang

{"title":"Interpretable Data-Driven Learning with Fast Ultrasonic Detection for Battery Health Estimation","authors":"Kailong Liu;Yuhang Liu;Qiao Peng;Naxin Cui;Chenghui Zhang","doi":"10.1109/JAS.2024.124722","DOIUrl":"https://doi.org/10.1109/JAS.2024.124722","url":null,"abstract":"Dear Editor, Health management is essential to ensure battery performance and safety, while data-driven learning system is a promising solution to enable efficient state of health (SoH) estimation of lithium-ion (Li-ion) batteries. However, the time-consuming signal data acquisition and the lack of interpretability of model still hinder its efficient deployment. Motivated by this, this letter proposes a novel and interpretable data-driven learning strategy through combining the benefits of explainable AI and non-destructive ultrasonic detection for battery SoH estimation. Specifically, after equipping battery with advanced ultrasonic sensor to promise fast real-time ultrasonic signal measurement, an interpretable data-driven learning strategy named generalized additive neural decision ensemble (GANDE) is designed to rapidly estimate battery SoH and explain the effects of the involved ultrasonic features of interest. Specifically, GANDE is derived from improved generalized additive model (GAM) and neural oblivious decision ensemble (NODE), with improved GAM enabling clear interpretability, while NODE provides superior estimation performance. Results illustrate that the GANDE presents satisfactory battery SoH estimation results with R2 over 0.97. In addition, the effects of four ultrasonic features on SoH estimation results can be well explained and visualized, which greatly benefits the understanding of the model's decision making and the control and optimization of battery systems.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"267-269"},"PeriodicalIF":15.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848392","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993581","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

Event-Triggered Robust Parallel Optimal Consensus Control for Multiagent Systems 多智能体系统的事件触发鲁棒并行最优共识控制

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI: 10.1109/JAS.2024.124773

Qinglai Wei;Shanshan Jiao;Qi Dong;Fei-Yue Wang

引用次数: 0

Chattering-Free Fault-Tolerant Cluster Control and Fault Direction Identification for HIL UAV Swarm with Pre-Specified Performance 高性能HIL无人机群的无抖振容错控制与故障方向识别

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI: 10.1109/JAS.2024.124827

Pei-Ming Liu;Xiang-Gui Guo;Jian-Liang Wang;Daniel Coutinho;Lihua Xie

{"title":"Chattering-Free Fault-Tolerant Cluster Control and Fault Direction Identification for HIL UAV Swarm with Pre-Specified Performance","authors":"Pei-Ming Liu;Xiang-Gui Guo;Jian-Liang Wang;Daniel Coutinho;Lihua Xie","doi":"10.1109/JAS.2024.124827","DOIUrl":"https://doi.org/10.1109/JAS.2024.124827","url":null,"abstract":"In this paper, the problem of pre-specified performance fault-tolerant cluster consensus control and fault direction identification is solved for the human-in-the-loop (HIL) swarm unmanned aerial vehicles (UAVs) in the presence of possible non-identical and unknown direction faults (NUDFs) in the yaw chan-nel. The control strategy begins with the design of a pre-specified performance event-triggered observer for each individual UAV. These observers estimate the outputs of the human controlled UAVs, and simultaneously achieve the distributed design of actual control signals as well as cluster consensus of the observer output. It is worth mentioning that these observers require neither the high-order derivatives of the human controlled UAVs' output nor a priori knowledge of the initial conditions. The fault-tolerant controller realizes the pre-specified performance output regulation through error transformation and the Nussbaum function. It should be pointed out that there are no chattering caused by the jump of the Nussbaum function when a reverse fault occurs. In addition, to provide a basis for further solving the problem of physical malfunctions, a fault direction identification algorithm is proposed to accurately identify whether a reverse fault has occurred. Simulation results verify the effectiveness of the proposed control and fault direction identification strategies when the reverse faults occur.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"183-197"},"PeriodicalIF":15.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993624","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

Stability and Stabilization of Sampled-Data Based LFC for Power Systems: A Data-Driven Method 基于采样数据的电力系统LFC的稳定性与镇定：一种数据驱动方法

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI: 10.1109/JAS.2024.124740

Yu-Long Fan;Chuan-Ke Zhang;Yong He

引用次数: 0

Distributed Economic Dispatch Algorithms of Microgrids Integrating Grid-Connected and Isolated Modes 并网与隔离模式相结合的微电网分布式经济调度算法

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI: 10.1109/JAS.2024.124695

Zhongxin Liu;Yanmeng Zhang;Yalin Zhang;Fuyong Wang

{"title":"Distributed Economic Dispatch Algorithms of Microgrids Integrating Grid-Connected and Isolated Modes","authors":"Zhongxin Liu;Yanmeng Zhang;Yalin Zhang;Fuyong Wang","doi":"10.1109/JAS.2024.124695","DOIUrl":"https://doi.org/10.1109/JAS.2024.124695","url":null,"abstract":"The economic dispatch problem (EDP) of micro-grids operating in both grid-connected and isolated modes within an energy internet framework is addressed in this paper. The multiagent leader-following consensus algorithm is employed to address the EDP of microgrids in grid-connected mode, while the push-pull algorithm with a fixed step size is introduced for the isolated mode. The proposed algorithm of isolated mode is proven to converge to the optimum when the interaction digraph of microgrids is strongly connected. A unified algorithmic frame-work is proposed to handle the two modes of operation of micro-grids simultaneously, enabling our algorithm to achieve optimal power allocation and maintain the balance between power supply and demand in any mode and any mode switching. Due to the push-pull structure of the algorithm and the use of fixed step size, the proposed algorithm can better handle the case of unbalanced graphs, and the convergence speed is improved. It is documented that when the transmission topology is strongly connected and there is bi-directional communication between the energy router and its neighbors, the proposed algorithm in composite mode achieves economic dispatch even with arbitrary mode switching. Finally, we demonstrate the effectiveness and superiority of our algorithm through numerical simulations.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"86-98"},"PeriodicalIF":15.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993545","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