ISA transactions最新文献_第9页

Distributed formation control for port-Hamiltonian multi-agent systems by average state estimation 基于平均状态估计的port- hamilton多智能体系统分布式编队控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-30 DOI: 10.1016/j.isatra.2025.05.039

Jingyi Zhao , Yongxin Wu , Yuqian Guo , Zhu Li , Yuhu Wu

{"title":"Distributed formation control for port-Hamiltonian multi-agent systems by average state estimation","authors":"Jingyi Zhao , Yongxin Wu , Yuqian Guo , Zhu Li , Yuhu Wu","doi":"10.1016/j.isatra.2025.05.039","DOIUrl":"10.1016/j.isatra.2025.05.039","url":null,"abstract":"<div><div>In recent years, propelled by the rapid development of information technology and the Internet, the formation control of multi-agent systems has gradually emerged as a research hotspot. This paper focuses on the formation control problem of multi-agent mechanical systems with port-Hamiltonian (PH) dynamics. Firstly, the formation problem is converted into an optimization problem whose solution meets the formation requirements. Subsequently, in order to guide the closed-loop system to converge to the solution of this optimization problem, we propose two distributed controllers. The first controller is designed for multi-agent systems where the formation output is defined by position. Notably, this controller preserves the PH structure in the closed-loop, which simplifies the selection of candidate Lyapunov functions for proving the asymptotic convergence of the system to the desired formation. To characterize the minimum convergence rate of the closed-loop system, the second controller is proposed. Based on this controller, the exponential stability and the minimum convergence rate of the closed-loop system are provided. Additionally, these controllers only require agents to exchange estimations of the average state with their neighbors, thereby protecting the privacy of their state and value function information. Finally, the effectiveness of these controllers is verified through an application case on nonholonomic wheeled robots.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"164 ","pages":"Pages 297-309"},"PeriodicalIF":6.5,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144251588","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}

引用次数: 0

Introducing an improved control method for instrument air unit based on fuzzy and iterative learning control 介绍了一种改进的基于模糊迭代学习控制的仪表空调器控制方法。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-30 DOI: 10.1016/j.isatra.2025.05.042

Sina Soltani

{"title":"Introducing an improved control method for instrument air unit based on fuzzy and iterative learning control","authors":"Sina Soltani","doi":"10.1016/j.isatra.2025.05.042","DOIUrl":"10.1016/j.isatra.2025.05.042","url":null,"abstract":"<div><div>An instrument air unit is a critical component in industrial processes, providing compressed air to operate instrumentation devices and control various factory operations. It comprises air compressors, filters, dryers, and other equipment, serving as an indispensable element of any industrial setup. However, the instrument air unit exhibits a complex, time-varying system behavior, with delayed and erratic characteristics. This instability and broad range of fluctuations often lead to disturbances in control processes, potentially disrupting production operations. To address these challenges, stability, time management, and precise pressure control of the instrument air unit are vital for maintaining efficiency in industrial applications. In this study, we propose and implement an innovative pressure, timing, and drying control structure that leverages Iterative Learning Control (ILC) combined with fuzzy logic techniques. The primary goal is to achieve stable and accurate pressure regulation, optimized timing sequencing, and compliance with Instrument Air Standards (ISA) to enhance system performance and reliability. Experimental results validate the effectiveness of the proposed method, demonstrating improved control precision and quality assurance in real-world industrial applications.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"164 ","pages":"Pages 222-233"},"PeriodicalIF":6.5,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217949","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}

引用次数: 0

Optimal state-flipped control and learning for synchronization of probabilistic Boolean networks 概率布尔网络同步的最优状态翻转控制与学习。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-30 DOI: 10.1016/j.isatra.2025.05.041

Chenyang Bian , Zhipeng Zhang , Leihao Du , Zengqiang Chen

引用次数: 0

Finite-time velocity sensorless integral sliding mode control for roll-to-roll systems under matched disturbances 匹配扰动下滚对滚系统的有限时间无速度传感器积分滑模控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-29 DOI: 10.1016/j.isatra.2025.05.036

Van Trong Dang , Xuan Bo Nguyen , Thi Dieu Trinh Tran , Duc Thinh Le , Tung Lam Nguyen

{"title":"Finite-time velocity sensorless integral sliding mode control for roll-to-roll systems under matched disturbances","authors":"Van Trong Dang , Xuan Bo Nguyen , Thi Dieu Trinh Tran , Duc Thinh Le , Tung Lam Nguyen","doi":"10.1016/j.isatra.2025.05.036","DOIUrl":"10.1016/j.isatra.2025.05.036","url":null,"abstract":"<div><div>Roll-to-Roll (R2R) systems operating in complex manufacturing industries encounter challenges from inherent system factors like model uncertainty or external interference. These factors directly lead to a significant reduction in productivity and output quality of the system, thereby causing great economic losses. In response to the growing demand for consistently high performance in industrial R2R processing, we propose a finite-time integral terminal sliding mode control integrated with a finite-time extended state observer. The proposed controller achieves consistently high tracking performance of transport speed and material surface tension of the system owing to the integral terminal sliding mode control method. Meanwhile, the extended state observer is integrated with three component observers to address the dual estimation task for velocity-based dynamic models of unwinder roll, active guide roll, and rewinder roll, encompassing both velocity states and disturbances/uncertainties. In this manner, observational errors under the estimation error dynamic models are proved to be ultimately uniformly bounded by the Lyapunov theory. Furthermore, the control framework, including an integral sliding controller and an observer, is also demonstrated through the Lyapunov stability theory. Comparisons with other nonlinear controllers are conducted and discussed to validate the efficiency of our proposal.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"164 ","pages":"Pages 61-74"},"PeriodicalIF":6.5,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144251589","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}

引用次数: 0

Geometrically-informed sequential Monte Carlo method for dynamic swarm tracking 动态蜂群跟踪的几何通知序贯蒙特卡罗方法。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-27 DOI: 10.1016/j.isatra.2025.05.034

Tharani Rajapaksha, Amirali Khodadadian Gostar, Reza Hoseinnezhad

{"title":"Geometrically-informed sequential Monte Carlo method for dynamic swarm tracking","authors":"Tharani Rajapaksha, Amirali Khodadadian Gostar, Reza Hoseinnezhad","doi":"10.1016/j.isatra.2025.05.034","DOIUrl":"10.1016/j.isatra.2025.05.034","url":null,"abstract":"<div><div>This paper introduces a novel approach for dynamic tracking of swarms of autonomous moving agents (such as UAVs) by leveraging the inherent geometric properties of swarm formations. The method treats the entire swarm as a single target, streamlining the tracking process. The state of the swarm is characterized by the location and velocity of its center, as well as the orientation and geometric parameters of the swarm, which are estimated using the sequential Monte Carlo method. One significant aspect of this paper is the formulation of the likelihood function, which incorporates the geometric information of the swarm and is tolerant of the high rate of false alarms, significantly enhancing the robustness of the filter against common sensor-based challenges in swarm tracking. Likelihood functions are proposed for different swarm formation patterns. Our proposed method is also capable of addressing scenarios where the swarm undergoes multiple time-varying formation patterns. The performance of the proposed methods has been numerically tested. The results indicate that the proposed methods accurately estimate swarm movement, formation, and shape in situations with time-varying formation patterns, even in the presence of high false alarms and missed detections, better than the conventional particle filter.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"164 ","pages":"Pages 149-160"},"PeriodicalIF":6.5,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228070","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}

引用次数: 0

Prescribed performance optimal fault-tolerant control for nonlinear systems with mismatched disturbances via zero-sum differential game 基于零和微分对策的失配非线性系统的规定性能最优容错控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-27 DOI: 10.1016/j.isatra.2025.05.026

Youqing Wang, Wenjing Hou, Li Liang

{"title":"Prescribed performance optimal fault-tolerant control for nonlinear systems with mismatched disturbances via zero-sum differential game","authors":"Youqing Wang, Wenjing Hou, Li Liang","doi":"10.1016/j.isatra.2025.05.026","DOIUrl":"10.1016/j.isatra.2025.05.026","url":null,"abstract":"<div><div>This study explores optimal fault-tolerant control with prescribed performance for nonlinear systems affected by mismatched disturbances employing a game-theoretic approach. In the proposed framework, actuator faults and mismatched disturbances are considered together as one player in the game, while the control input acts as the opponent, which adds complexity and interest to the control design. To address this, an innovative fault-tolerant tracking control method is developed by constructing a novel error transformation, adopting a modified performance index with a barrier-type cost, and applying an online critic neural network (NN) algorithm to solve for the Nash equilibrium in the zero-sum differential game. Theoretical analysis confirms that the proposed method ensures system state tracking errors converge to a predetermined precision within a fixed time frame. Furthermore, all closed-loop signals remain uniformly ultimately bounded, validating the control scheme’s optimal performance. Finally, simulation results validate the proposed method’s efficacy and feasibility.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"164 ","pages":"Pages 91-99"},"PeriodicalIF":6.5,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228071","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}

引用次数: 0

Prescribed-time cooperative guidance law with seeker-less followers against multiple targets 多目标下无寻道器的定时合作制导律。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-27 DOI: 10.1016/j.isatra.2025.05.024

Yunjie Wu , Xuman An , Yueyang Hua , Guofei Li , Bohao Li

引用次数: 0

Critical hydraulic components remaining useful life prediction based on long-life test and Bayesian joint model with data augmentation 基于长寿命试验和数据增强贝叶斯联合模型的关键液压元件剩余使用寿命预测。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-27 DOI: 10.1016/j.isatra.2025.05.040

Weijie Li , Xinyuan Chen , Xinbo Qian , Bo Deng , Xingyu Zhou , Dunkai Wang , Jingyi Zhang , Yan Lu

{"title":"Critical hydraulic components remaining useful life prediction based on long-life test and Bayesian joint model with data augmentation","authors":"Weijie Li , Xinyuan Chen , Xinbo Qian , Bo Deng , Xingyu Zhou , Dunkai Wang , Jingyi Zhang , Yan Lu","doi":"10.1016/j.isatra.2025.05.040","DOIUrl":"10.1016/j.isatra.2025.05.040","url":null,"abstract":"<div><div>Remaining useful life (RUL) predictions of hydraulic components are critical to the operational reliability of hydraulic systems. Currently, research on highly reliable hydraulic components is primarily limited to simulation models, few faulty components or accelerated life tests. Moreover, RUL predictions are mainly limited to multi-source condition monitoring data, potentially leading to difficulties in ensuring long-term RUL prediction accuracy. To address these issues, this paper proposes a RUL prediction method based on long-life test and Bayesian joint model with data augmentation. First, seven solenoid valves were subjected to a long-life test lasting over 2.2 million times for 20 months. Second, a data augmentation method was utilized to increase the size of the RUL prediction training set. Finally, a Bayesian joint model was designed to identify random association relationships among condition monitoring, inspection and event data. The accuracy and confidence of the proposed method has been validated by long-life test datasets.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"164 ","pages":"Pages 257-270"},"PeriodicalIF":6.5,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144251587","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}

引用次数: 0

MAF‐Stereo: Fast stereo matching through multi-branch attention fusion MAF-Stereo：通过多分支注意融合实现快速立体匹配。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-26 DOI: 10.1016/j.isatra.2025.05.038

Lei Jin, Ke Xu

{"title":"MAF‐Stereo: Fast stereo matching through multi-branch attention fusion","authors":"Lei Jin, Ke Xu","doi":"10.1016/j.isatra.2025.05.038","DOIUrl":"10.1016/j.isatra.2025.05.038","url":null,"abstract":"<div><div>With advancements in computer vision, stereo matching has become a critical component in applications such as autonomous driving and 3D reconstruction. Traditional methods for achieving accurate matching often rely on high-resolution image features or deeper network architectures, which substantially compromise inference speed. In contrast, methods designed for faster performance typically simplify network structures, sacrificing accuracy to improve efficiency. Our study identifies a key limitation of these rapid methods: their exclusive reliance on low-resolution features during the feature resolution recovery process, which results in insufficiently informative recovered features. To address this limitation, we propose a novel module, the Multi-branch Attention Fusion (MAF), which leverages shallow features extracted in the early stages of processing to enhance feature resolution recovery during the cost aggregation phase. Additionally, we introduce an improvement to the cost volume generation process by incorporating cosine similarity, which alleviates the issue of weak correlation between left and right image features often encountered in conventional four-dimensional cost volumes. Building upon these contributions, we present MAF-Stereo, a method that achieves an endpoint error (EPE) of 0.57 and an inference speed of 41 ms on the Scene Flow dataset. Comprehensive evaluations on the Karlsruhe Institute of Technology and Toyota Technological Institute (KITTI) 2012 and 2015 datasets further demonstrate that MAF-Stereo outperforms existing fast matching methods in both speed and accuracy, establishing its effectiveness and robustness. The code is available at: <span><span>https://github.com/LeiJ-USTB/MAF-Stereo/tree/main</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"164 ","pages":"Pages 211-221"},"PeriodicalIF":6.5,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188724","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}

引用次数: 0

Neural inverse-based fast control of quadrotors with actuator saturation 基于神经逆的驱动器饱和四旋翼快速控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2025-05-24 DOI: 10.1016/j.isatra.2025.05.025

Yiming Wang, Hao An, Linchang Lu

引用次数: 0