{"title":"Fuzzy-Augmented Random Vector Functional Link Networks for Industrial Process Soft Sensor","authors":"Zhaochang Li, Taoyan Zhao, Jinna Li, Zhe Kan","doi":"10.1109/tii.2026.3735073","DOIUrl":"https://doi.org/10.1109/tii.2026.3735073","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"53 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086665","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}
Iman H. Meskini, Rodrigo Roman Castro, Cristina Alcaraz, Javier Lopez
{"title":"Adversarial Attacks Against Consensus-Based Collaborative Anomaly Detection Systems","authors":"Iman H. Meskini, Rodrigo Roman Castro, Cristina Alcaraz, Javier Lopez","doi":"10.1109/tii.2026.3735063","DOIUrl":"https://doi.org/10.1109/tii.2026.3735063","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"35 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086669","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}
{"title":"Fault-Tolerant Control for Redundant Manipulators via Feasible Space Expansion Strategy: A Dynamic Desensitization Approach","authors":"Huanwei Zhang, Zhuliang Yu, Zhenghui Gu, Siyuan Chen","doi":"10.1109/tii.2026.3728132","DOIUrl":"https://doi.org/10.1109/tii.2026.3728132","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"62 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086457","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}
{"title":"Physics-Informed Distributed Model Predictive Control for Thermally Aware Energy Management in Hyperscale Artificial Intelligence Data Centers","authors":"Mohamed S. Taha, Yasser A.-R. I. Mohamed","doi":"10.1109/tii.2026.3733615","DOIUrl":"https://doi.org/10.1109/tii.2026.3733615","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"35 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149086455","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}
Jiaqi Tian;Bonan Huang;Tianyi Li;David Wenzhong Gao;Zhongming Yao;Yumeng Song;Yushuai Li
{"title":"Digital Twin for Multitimescale Economic Dispatch in Cyber-Physical Energy Systems","authors":"Jiaqi Tian;Bonan Huang;Tianyi Li;David Wenzhong Gao;Zhongming Yao;Yumeng Song;Yushuai Li","doi":"10.1109/TII.2026.3699131","DOIUrl":"https://doi.org/10.1109/TII.2026.3699131","url":null,"abstract":"Cyber-physical energy systems (CPESs) involve multitimescale decision-making to balance short- and long-term dispatch requirements. However, existing distributed economic dispatch methods typically emphasize either short-term optimality or long-term predictive capability but rarely achieve both simultaneously. To address this issue, we propose a digital twin (DT)-empowered framework, model, and method for multitimescale economic dispatch (MTED) in CPESs. First, we design a two-layer MTED framework that integrates a physical layer and a DT layer. The DT layer consists of individual DTs, which serve as virtual replicas of the physical components in the physical layer, and a federated DT that coordinates the interactions among these individual DTs. Second, we formulate the MTED problem in CPESs as a complex optimization problem that involves both nonconvex and convex decision variables, related to long and short timescales, respectively. Third, we propose a federated MuZero-Newton-descent method to solve the MTED problem. By using this method, we can make the short-term optimal decision while ensuring long-term predictive capability for planning. Finally, simulations demonstrate the effectiveness of the proposed method.","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"22 10","pages":"9325-9336"},"PeriodicalIF":9.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149097127","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}
{"title":"PurifyFD: Mining Latent Domains for Trustworthy Single-Domain Fault Diagnosis Under Open-World Shifts","authors":"Bowen Yu;Zhonglei Shen;Donghai Han;Shaocheng Kong;Zhibin Zhao;Liuyang Zhang;Ruqiang Yan;Xuefeng Chen","doi":"10.1109/TII.2026.3696400","DOIUrl":"https://doi.org/10.1109/TII.2026.3696400","url":null,"abstract":"Single-domain generalization (SDG) is critical for Industrial Internet of Things edge scenarios where only limited single-source data are available. Existing SDG approaches predominantly rely on generative models or heavy augmentation to synthesize auxiliary domains, which often introduce unrealistic artifacts and training instability. In contrast, we articulate that single-source industrial data inherently contain latent nonstationarities (e.g., temporal drifts) that can be mined rather than synthesized. Based on this insight, we propose <italic>PurifyFD</i>, a trustworthy and edge-efficient framework that reframes SDG as a feature purification problem. Specifically, we devise a closed-loop max–min adversarial game: the maximization step automatically amplifies the worst-case discrepancies of mined latent domains, while the minimization step suppresses feature sensitivity to these shifts via spatiotemporal disentanglement. This process yields purified representations with high intra-class compactness and shift-invariance. Rather than relying on heavy auxiliary out-of-distribution modules, the resulting compact representation naturally supports lightweight parameter-free energy scoring for more reliable open-set rejection in edge deployment. Extensive experiments on case western reserve university (CWRU), JNU, and a dual-testbed dataset demonstrate that PurifyFD achieves a favorable trade-off among cross-domain accuracy, open-set reliability, and inference efficiency compared to state-of-the-art representative methods.","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"22 10","pages":"8895-8906"},"PeriodicalIF":9.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149097249","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}