Pub Date : 2026-01-27DOI: 10.1109/tase.2026.3657889
Wei Yang, Yumei Ma, Qing-Guo Wang, Jinpeng Yu
{"title":"Learning-Enhanced Predefined-Time Adaptive Optimal Control for Quadrotors with Disturbance","authors":"Wei Yang, Yumei Ma, Qing-Guo Wang, Jinpeng Yu","doi":"10.1109/tase.2026.3657889","DOIUrl":"https://doi.org/10.1109/tase.2026.3657889","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"78 1","pages":"1-1"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056057","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}
Pub Date : 2026-01-27DOI: 10.1109/tase.2026.3658173
Huixin Jiang, Yana Yang, Changchun Hua, Junpeng Li
{"title":"A Novel ADP-based Neurooptimal Control Methodology for Teleoperation Systems under Interactive Shared-control Framework","authors":"Huixin Jiang, Yana Yang, Changchun Hua, Junpeng Li","doi":"10.1109/tase.2026.3658173","DOIUrl":"https://doi.org/10.1109/tase.2026.3658173","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"102 1","pages":"1-1"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056058","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}
Pub Date : 2026-01-23DOI: 10.1109/tase.2026.3657596
Shengwang An, Xinghui Dong
{"title":"SPGDD-GPT: Image-Text-Driven Generic Defect Diagnosis Using a Self-prompted Large Vision-Language Model","authors":"Shengwang An, Xinghui Dong","doi":"10.1109/tase.2026.3657596","DOIUrl":"https://doi.org/10.1109/tase.2026.3657596","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042683","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}
Pub Date : 2026-01-23DOI: 10.1109/tase.2026.3657700
Hyungjin Kim, Aerim Hwang, Shing Chih Tsai, Chuljin Park
{"title":"Stochastic Kriging-assisted Controlled Random Search for Simulation Optimization and Its Application to Critical Dimension Measurement","authors":"Hyungjin Kim, Aerim Hwang, Shing Chih Tsai, Chuljin Park","doi":"10.1109/tase.2026.3657700","DOIUrl":"https://doi.org/10.1109/tase.2026.3657700","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"117 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042686","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}
Pub Date : 2026-01-23DOI: 10.1109/tase.2026.3657678
Aliakbar Davoodi, Ahmad W. Al-Dabbagh
{"title":"An Adaptive Graph-based Approach for Similarity Analysis and Early Classification of Alarm Floods","authors":"Aliakbar Davoodi, Ahmad W. Al-Dabbagh","doi":"10.1109/tase.2026.3657678","DOIUrl":"https://doi.org/10.1109/tase.2026.3657678","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"61 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042688","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}
Pub Date : 2026-01-23DOI: 10.1109/tase.2026.3657422
Xudong Lv, Dongshu Wang
{"title":"A Bionic Memory Replay Model Based on Hippocampal-Prefrontal Collaboration: Design, Mechanism, and Robot Navigation Verification","authors":"Xudong Lv, Dongshu Wang","doi":"10.1109/tase.2026.3657422","DOIUrl":"https://doi.org/10.1109/tase.2026.3657422","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"71 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042690","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}
Pub Date : 2026-01-23DOI: 10.1109/tase.2026.3657523
Chen Chen, Jinghao Li, Rui Gao
{"title":"Distributed Quantized Control of Nonlinear Multi-Agent Systems Under Cooperative-Competitive Networks","authors":"Chen Chen, Jinghao Li, Rui Gao","doi":"10.1109/tase.2026.3657523","DOIUrl":"https://doi.org/10.1109/tase.2026.3657523","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"31 1","pages":""},"PeriodicalIF":5.6,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042687","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}
Pub Date : 2026-01-21DOI: 10.1109/TASE.2026.3651954
Young-In Kim;Spyros Reveliotis
The problem of min-time coverage in constricted environments concerns the employment of robotic fleets for the expedient support of routine inspection and service operations within well-structured but constricted environments. Typical examples of these applications include the inspection of various locations in subterranean utility networks and pipeline networks. In our previous work we have provided an extensive investigation of this coverage problem for the case where the underlying network that defines the operational environment for the robots, has a dendritic topology. The current work capitalizes on those past results in order to develop an effective and efficient heuristic method for the more general case where the underlying network has an arbitrary topology. We detail the presented method and demonstrate it with some elucidating examples. Also, a numerical experiment highlights the efficacy of the method and the quality of the obtained solutions. Finally, the last part of the paper discusses some extensions of the presented method and certain aspects of it that enable an even more efficient and robust implementation. Note to Practitioners—This paper concerns the application of the current and the emergent robotic technologies in the inspection and monitoring of remote and difficult to access facilities, like underground utility networks and oil and gas pipeline networks. The constricted and remote nature of these environments necessitates the careful preservation of a wireless ad hoc communication network among the deployed robots and the command-&-control center that supervises the entire operation, and this need gives rise to some novel, very interesting and very challenging coordination and scheduling problems. We have undertaken the investigation of these problems in a recent series of papers, providing a systematic formal characterization of them, and some analytical results that have identified important underlying structure and have also led to the development of a pertinent heuristic approach for certain special cases. This work complements and extends those earlier developments by generalizing the past heuristic approach so that it applies to the more general problem versions. Numerical experimentation demonstrates the efficacy and the potency of this generalization.
{"title":"A Heuristic Approach to the Problem of Min-Time Coverage in Constricted Environments With Arbitrary Guidepath Networks","authors":"Young-In Kim;Spyros Reveliotis","doi":"10.1109/TASE.2026.3651954","DOIUrl":"https://doi.org/10.1109/TASE.2026.3651954","url":null,"abstract":"The problem of min-time coverage in constricted environments concerns the employment of robotic fleets for the expedient support of routine inspection and service operations within well-structured but constricted environments. Typical examples of these applications include the inspection of various locations in subterranean utility networks and pipeline networks. In our previous work we have provided an extensive investigation of this coverage problem for the case where the underlying network that defines the operational environment for the robots, has a dendritic topology. The current work capitalizes on those past results in order to develop an effective and efficient heuristic method for the more general case where the underlying network has an arbitrary topology. We detail the presented method and demonstrate it with some elucidating examples. Also, a numerical experiment highlights the efficacy of the method and the quality of the obtained solutions. Finally, the last part of the paper discusses some extensions of the presented method and certain aspects of it that enable an even more efficient and robust implementation. Note to Practitioners—This paper concerns the application of the current and the emergent robotic technologies in the inspection and monitoring of remote and difficult to access facilities, like underground utility networks and oil and gas pipeline networks. The constricted and remote nature of these environments necessitates the careful preservation of a wireless ad hoc communication network among the deployed robots and the command-&-control center that supervises the entire operation, and this need gives rise to some novel, very interesting and very challenging coordination and scheduling problems. We have undertaken the investigation of these problems in a recent series of papers, providing a systematic formal characterization of them, and some analytical results that have identified important underlying structure and have also led to the development of a pertinent heuristic approach for certain special cases. This work complements and extends those earlier developments by generalizing the past heuristic approach so that it applies to the more general problem versions. Numerical experimentation demonstrates the efficacy and the potency of this generalization.","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"23 ","pages":"2294-2309"},"PeriodicalIF":6.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026379","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}
Pub Date : 2026-01-21DOI: 10.1109/TASE.2025.3604567
Birgit Vogel-Heuser;Xun W. Xu;Jingang Yi;Maria Pia Fanti;Yuqian Lu;Ray Y. Zhong
{"title":"Guest Editorial: 19th IEEE International Conference on Automation Science and Engineering","authors":"Birgit Vogel-Heuser;Xun W. Xu;Jingang Yi;Maria Pia Fanti;Yuqian Lu;Ray Y. Zhong","doi":"10.1109/TASE.2025.3604567","DOIUrl":"https://doi.org/10.1109/TASE.2025.3604567","url":null,"abstract":"","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"23 ","pages":"2199-2202"},"PeriodicalIF":6.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11359615","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026343","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}
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