IEEE Transactions on Industrial Cyber-Physical Systems最新文献_第3页

Fixed-Time Passivity of Coupled Spatiotemporal Networks With Multistate and Multiderivative Couplings via PD Method 基于PD方法的多态多导数耦合时空网络的定时无源性

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-04-23 DOI: 10.1109/TICPS.2026.3686822

Ruoyu Wei;Zixuan Chen;Jinde Cao

引用次数: 0

Deadline-Driven Deterministic Wireless Communication for Time-Sensitive Industrial Cyber–Physical Systems 时间敏感工业信息物理系统的截止日期驱动确定性无线通信

IF 7.4

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-06-09 DOI: 10.1109/TICPS.2026.3701698

Mikael Gidlund;Tao Zheng

{"title":"Deadline-Driven Deterministic Wireless Communication for Time-Sensitive Industrial Cyber–Physical Systems","authors":"Mikael Gidlund;Tao Zheng","doi":"10.1109/TICPS.2026.3701698","DOIUrl":"https://doi.org/10.1109/TICPS.2026.3701698","url":null,"abstract":"Time-triggered industrial cyber–physical control requires decode-by communication, where information arriving after a fixed deadline is control-invalid and must be discarded. Conventional feedback-based wireless reliability mechanisms, such as HARQ, introduce random completion times that complicate worst-case analysis and certification in time-sensitive industrial networks. This paper presents a deadline-driven coded reliability framework that enables a 5G/6G wireless hop to provide deterministic decode-by service with a bounded latency contract. In each control cycle, the payload is encoded into a fixed number of transmissions scheduled within a reserved window ending at a strict deadline. To provision the minimum radio-time reservation for a target violation probability, we formulate an exact dynamic program under a Gilbert–Elliott loss model that maps channel-state evolution to cycle-level failures. Based on this analysis, the proposed Minimal-Overhead Deterministic Scheduler (MODS) computes the smallest transmission budget satisfying the latency–reliability contract. Trace-driven evaluation using industrial 5G/6G measurements shows that the framework achieves a violation probability below (<inline-formula><tex-math>$10^{-9}$</tex-math></inline-formula>) while reducing deterministic airtime by up to 45% compared with replication-based baselines. Results further show that decode-by performance is dominated by burst-correlated losses rather than average error rates, requiring provisioning against the burst-loss envelope. The transmission budget exposes an explicit latency–reliability trade-off, enabling predictable resource allocation and scalable admission of time-sensitive flows in deterministic industrial networks.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"514-524"},"PeriodicalIF":7.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148480606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Predefined-Time Distributed Method to the Coupled-Constraint Optimization Problem and Its Application to Distributed Energy Resources 耦合约束优化问题的一种预定义时间分布方法及其在分布式能源中的应用

IF 7.4

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-07-01 DOI: 10.1109/TICPS.2026.3708533

Xiasheng Shi;Lifu Ding;Zhiyun Lin

{"title":"A Predefined-Time Distributed Method to the Coupled-Constraint Optimization Problem and Its Application to Distributed Energy Resources","authors":"Xiasheng Shi;Lifu Ding;Zhiyun Lin","doi":"10.1109/TICPS.2026.3708533","DOIUrl":"https://doi.org/10.1109/TICPS.2026.3708533","url":null,"abstract":"In industrial cyber-physical systems (ICPSs), distributed energy resources (DERs) are increasingly managed through networked communication and coordinated control. This paper addresses a critical cyber-physical optimization challenge: the distributed constrained optimization problem for DER systems, where each DER unit has local convex constraints (e.g., generation limits) and all units must satisfy a global coupled constraint (e.g., power balance). To achieve predefined-time convergence, first, a projection operator is introduced to ensure the local convex set based on the nonhomogeneous signum function. Second, the coupled linear constraint is resolved using the integral sliding mode technique. Third, the optimality of the solution is guaranteed in view of the gradient flow and the consensus scheme. Then, based on the predefined-time stability theorem, our developed method achieves the global optimal solution within the predefined time. Compared to existing finite-time and fixed-time methods, our approach requires fewer tuning parameters and does not rely on initial constraint satisfaction. Lastly, the proposed method is applied to the distributed energy resource system, an important application in ICPSs, to illustrate its effectiveness.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"633-643"},"PeriodicalIF":7.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148612952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed Vehicular Platoon Control Based on Improved Quadratic Spacing Policy and Differential Tracker With Input Delays 基于改进二次间隔策略和差分跟踪器的分布式车辆队列控制

IF 7.4

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-07-09 DOI: 10.1109/TICPS.2026.3711590

Haobi Wang;Yiyan Han;Dongfang Yang;Xiaodong Sun;Xin Wang

{"title":"Distributed Vehicular Platoon Control Based on Improved Quadratic Spacing Policy and Differential Tracker With Input Delays","authors":"Haobi Wang;Yiyan Han;Dongfang Yang;Xiaodong Sun;Xin Wang","doi":"10.1109/TICPS.2026.3711590","DOIUrl":"https://doi.org/10.1109/TICPS.2026.3711590","url":null,"abstract":"Vehicular platooning has emerged as a transformative technology to enhance road capacity and driving safety. However, most studies neglect input delays and assume the initial spacing errors (ISEs) are zero, which may hinder deep application in more practical scenarios. To bridge this gap, this paper develops a distributed control framework incorporating a novel Improved Quadratic Spacing Policy (IQSP). First, by introducing a sophisticated coordinate transformation, the proposed IQSP effectively eliminates the dependency on zero ISEs and ensures a superior convergence rate compared to traditional methods. Second, to address actuator latencies, an integral compensation mechanism is integrated into the back-stepping design, while a differential tracker (DT) is employed to suppress the differential explosion phenomenon and reduce computational complexity. Third, a hybridized neural network disturbance observer is constructed to handle unknown nonlinear dynamics and lumped disturbances, thereby resolving the controller singularity issue. Rigorous theoretical analysis guarantees individual vehicle stability, string stability, and global traffic flow stability. Simulation results demonstrate that the proposed strategy significantly improves traffic throughput and exhibits robust performance in the presence of significant input delays.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"687-697"},"PeriodicalIF":7.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148613047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid Encryption for State Estimation Against Stealthy Attacks 针对隐身攻击的状态估计混合加密

IF 7.4

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-07-02 DOI: 10.1109/TICPS.2026.3709270

Lexin Chen;Liwei An

{"title":"Hybrid Encryption for State Estimation Against Stealthy Attacks","authors":"Lexin Chen;Liwei An","doi":"10.1109/TICPS.2026.3709270","DOIUrl":"https://doi.org/10.1109/TICPS.2026.3709270","url":null,"abstract":"The “crypticity” is characterized as confidentiality property that characterizes whether system information can be inferred by an attacker. When the system is uncryptic, transmission data are easily intercepted and compromised by attackers, further endangering system stability. The existing computational security in the computer field only ensures that attackers cannot recover the plaintext from the ciphertext and key in polynomial time. However, in control systems, due to system vulnerability, the attacker can directly utilize the ciphertext data to launch stealthy attacks rather than decrypting. To meet the security requirement for state estimation, this paper formulates a new crypticity-enhancing framework. A hybrid encryption strategy with low computational complexity is proposed. Specifically, symmetric encryption algorithms encrypt transmitted innovations of state estimation, while asymmetric encryption algorithms encrypt keys of symmetric encryption. A sufficient condition for partial crypticity and a necessary and sufficient condition for complete crypticity of the hybrid encryption algorithm are derived. A simulation example is presented to sustain the theoretical results.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"575-583"},"PeriodicalIF":7.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148613051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictive ConvFormer-LSTM Digital Twin for Intelligent Cyber-Physical Operation of Grid-Connected Photovoltaic Systems 并网光伏系统网络物理智能运行的预测变换器- lstm数字孪生

IF 7.4

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-04-09 DOI: 10.1109/TICPS.2026.3682679

Naresh Kumar Kumawat;Nishant Kumar

{"title":"Predictive ConvFormer-LSTM Digital Twin for Intelligent Cyber-Physical Operation of Grid-Connected Photovoltaic Systems","authors":"Naresh Kumar Kumawat;Nishant Kumar","doi":"10.1109/TICPS.2026.3682679","DOIUrl":"https://doi.org/10.1109/TICPS.2026.3682679","url":null,"abstract":"In this paper, an intelligent cyber physical data driven Digital Twin (DT) framework is developed for monitoring and performance enhancement of grid-connected photovoltaic (PV) systems. The developed DT framework integrates sensing, modeling, and learning within a unified cyber-physical environment for accurate system state representation and effective control. The proposed framework employs a hybrid ConvFormer-LSTM architecture, which integrates convolutional feature extraction, Transformer-based attention mechanism, and Long Short-Term Memory (LSTM) to jointly capture local transients and long-range temporal dependencies in multivariate time-series signals. The framework enables accurate estimation of voltage and current stresses, as well as non-invasive parameter identification of critical components, using predicted voltage and current signals. Validation on a 2-stage, 3-phase grid-connected photovoltaic (PV) energy conversion system demonstrates that the proposed method achieves a coefficient of determination (R<sup>2</sup>) of 0.9573 under hybrid dynamic conditions, with low MAPE values such as 1.78. These results confirm that the proposed DT methodology provides a robust and generalizable solution for monitoring and parameter estimation in nonlinear circuit and system environments.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"238-245"},"PeriodicalIF":7.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148480376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing End-to-End Delay Satisfiability for IEEE 802.1Qav 增强IEEE 802.1Qav的端到端时延可满足性

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-03-25 DOI: 10.1109/TICPS.2026.3696600

Cheng Long;Zonghui Li;Shuxian Jin;Kang G. Shin;Daquan Zhang;Zixiao Wang;Zhibo Pang

{"title":"Enhancing End-to-End Delay Satisfiability for IEEE 802.1Qav","authors":"Cheng Long;Zonghui Li;Shuxian Jin;Kang G. Shin;Daquan Zhang;Zixiao Wang;Zhibo Pang","doi":"10.1109/TICPS.2026.3696600","DOIUrl":"https://doi.org/10.1109/TICPS.2026.3696600","url":null,"abstract":"IEEE standard 802.1Qav evolves from Ethernet Audio Video Bridging (AVB) to support real-time transmission by performing Credit-Based Shaping (CBS) of flows at each hop. Prior work primarily focuses on achieving a tighter upper bound of the End-to-End (E2E) delay using network calculus, given the CBS configuration of flows. However, it is important to adjust the CBS configuration at each hop to meet the deadlines for various data flows. To this end, we address the CBS scheduling problem to enhance the satisfiability of E2E delay requirements. First, we formulate a linear constraint model and propose a Double Deep Q-Network (DDQN) reinforcement learning method, called <inline-formula><tex-math>$ mathtt{CBS-DDQN} $</tex-math></inline-formula>, to solve the model. Second, to improve model training and scheduling, we present a fast method using equivalence reduction to calculate the E2E upper bounds of data flows for the evaluation of E2E delay satisfiability. Finally, we conduct an extensive evaluation of <inline-formula><tex-math>$ mathtt{CBS-DDQN}$</tex-math></inline-formula>, demonstrating its ability to efficiently schedule thousands of flows and increase the number of flows meeting the delay requirements by 18–26% over prior methods.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"368-379"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148236233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cyber-Physical Coordinated Recovery of Power Grids Using UAV-Assisted Emergency Networking 利用无人机辅助应急网络的电网网络物理协调恢复

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-03-21 DOI: 10.1109/TICPS.2026.3695838

Yunpeng Sun;Zhichao Shi;Tao Zhang;Xucheng Huang;Kaiwen Li

{"title":"Cyber-Physical Coordinated Recovery of Power Grids Using UAV-Assisted Emergency Networking","authors":"Yunpeng Sun;Zhichao Shi;Tao Zhang;Xucheng Huang;Kaiwen Li","doi":"10.1109/TICPS.2026.3695838","DOIUrl":"https://doi.org/10.1109/TICPS.2026.3695838","url":null,"abstract":"Extreme disasters cause simultaneous damage to the cyber and physical layers of power grids, leading to widespread observability and controllability loss. Existing research suffers from insufficient adaptability to dynamic damage, idealized communication models that neglect backhaul link reliability, and computational inefficiencies hindering rapid response. To address these challenges, this paper proposes a Hybrid RL-Heuristic Bilevel Framework (HRHBF) for cyber-physical coordinated recovery (CPCR). A key innovation is the explicit modeling of a uncrewed aerial vehicle (UAV)-assisted SAGIN backhaul link with continuous coverage constraints to ensure end-to-end communication reliability. The bilevel structure employs Deep Reinforcement Learning (DRL) to adaptively learn UAV positioning while an inner layer solves for load restoration, enabling fast, joint optimization. Furthermore, an LSTM-based policy network enhances generalization across unknown disaster scenarios. Experiments on IEEE 33-bus and 118-bus systems demonstrate that HRHBF achieves a 100% communication success rate, significantly outperforms benchmarks in load recovery and QoS, and makes decisions in seconds. These results validate the framework’s effectiveness in providing a reliable, efficient, and rapid solution to enhance post-disaster power system resilience.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"417-428"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148236355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Multi-Criteria Evolutionary Game for Cyber-Physical Microgrids With Adaptive Resilience 具有自适应弹性的信息物理微电网多准则进化博弈

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-04-02 DOI: 10.1109/TICPS.2026.3680381

Wei Zhou;Jingang Lai

引用次数: 0

Uncertainty-Aware Anomaly Prediction Using Conformal Multivariate Time Series Clustering 基于保形多元时间序列聚类的不确定性感知异常预测

IEEE Transactions on Industrial Cyber-Physical Systems Pub Date : 2026-01-01 Epub Date: 2026-04-21 DOI: 10.1109/TICPS.2026.3686147

Amulya Sreejith;Adwaitha Pradeep;Balasubramaniam Natarajan

{"title":"Uncertainty-Aware Anomaly Prediction Using Conformal Multivariate Time Series Clustering","authors":"Amulya Sreejith;Adwaitha Pradeep;Balasubramaniam Natarajan","doi":"10.1109/TICPS.2026.3686147","DOIUrl":"https://doi.org/10.1109/TICPS.2026.3686147","url":null,"abstract":"This letter presents a unified framework for robust, uncertainty-aware anomaly detection and classification in cyber-physical system (CPS) time-series data with formal coverage guarantees and low-latency state identification. The temporal and spatial dependencies in the data are modeled using a mixture of time-invariant Gaussian graphical models, with each state characterized by a unique block Toeplitz inverse covariance matrix. This modeling approach captures short-term spatio-temporal stationarity, enabling consistent modeling across sliding windows. An Expectation-Maximization (EM) based approach jointly estimates cluster assignments and structural parameters. Prediction uncertainty is quantified by integrating conformal prediction using negative log-likelihoods non-conformity scores. By leveraging the partial exchangeability of subsequences ensured through the Toeplitz structure, we provide valid distribution-free prediction sets with coverage guarantees. Evaluations on a cyber physical power systems data under normal, fault, and cyber-attack conditions demonstrate 98% empirical coverage and 15% higher calibration accuracy over existing uncertainty-aware methods. The method improves attack detection rates, and reduces detection latency for fast-evolving transients. Results demonstrate accurate, low-latency, and confidence-aware event identification with interpretable structural insights supporting resilient and trustworthy CPS monitoring.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"280-284"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0