Pub Date : 2024-08-19DOI: 10.1109/TSMC.2024.3438901
{"title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","authors":"","doi":"10.1109/TSMC.2024.3438901","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3438901","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10639484","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013404","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}
Pub Date : 2024-08-19DOI: 10.1109/TSMC.2024.3439813
{"title":"TechRxiv: Share Your Preprint Research with the World!","authors":"","doi":"10.1109/TSMC.2024.3439813","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3439813","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10639486","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142041399","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}
Pub Date : 2024-08-19DOI: 10.1109/TSMC.2024.3438895
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Pub Date : 2024-08-19DOI: 10.1109/TSMC.2024.3439809
{"title":"TechRxiv: Share Your Preprint Research with the World!","authors":"","doi":"10.1109/TSMC.2024.3439809","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3439809","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10639511","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013235","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}
Pub Date : 2024-08-19DOI: 10.1109/TSMC.2024.3438899
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Pub Date : 2024-08-19DOI: 10.1109/TSMC.2024.3438893
{"title":"IEEE Systems, Man, and Cybernetics Society Information","authors":"","doi":"10.1109/TSMC.2024.3438893","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3438893","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10639515","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013245","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}
Pub Date : 2024-08-19DOI: 10.1109/TSMC.2024.3438891
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Pub Date : 2024-08-16DOI: 10.1109/TSMC.2024.3427838
Qi Mo;Jianeng Wang;Yi Jiang;Zhongwen Xie;Wei Wang;Cong Liu;Fei Dai
Since the data-aware business process usually covers the control flow and data flow, and both of them have a direct impact on its execution, it is challenging to ensure its correctness. In this article, we propose a novel correctness enforcement approach for the data-aware business the processes. Given a data-aware business process, this approach first relies on the notion of the execution paths to capture all the parts of it that can be executed correctly. More specifically, it first splits the data-aware business process into a set of the execution paths, and then presents the notion of well-formedness to determine whether each execution path is correct. Based on these captured correct execution paths, an execution path-oriented strategy is generated, which is nonintrusive, and can enforce it to follow one of its correct execution paths during each execution, thereby realizing its correct execution. This approach is evaluated using the extensive experiments, which shows that it is effective and efficient, as well as scalable in practice.
{"title":"Enforcing Data-Aware Business Processes Using Execution Path-Oriented Strategies","authors":"Qi Mo;Jianeng Wang;Yi Jiang;Zhongwen Xie;Wei Wang;Cong Liu;Fei Dai","doi":"10.1109/TSMC.2024.3427838","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3427838","url":null,"abstract":"Since the data-aware business process usually covers the control flow and data flow, and both of them have a direct impact on its execution, it is challenging to ensure its correctness. In this article, we propose a novel correctness enforcement approach for the data-aware business the processes. Given a data-aware business process, this approach first relies on the notion of the execution paths to capture all the parts of it that can be executed correctly. More specifically, it first splits the data-aware business process into a set of the execution paths, and then presents the notion of well-formedness to determine whether each execution path is correct. Based on these captured correct execution paths, an execution path-oriented strategy is generated, which is nonintrusive, and can enforce it to follow one of its correct execution paths during each execution, thereby realizing its correct execution. This approach is evaluated using the extensive experiments, which shows that it is effective and efficient, as well as scalable in practice.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443112","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}
Pub Date : 2024-08-16DOI: 10.1109/TSMC.2024.3355182
Anyan Jing;Jian Gao;Boxu Min;Jiarun Wang;Yimin Chen;Guang Pan
An energy-efficient event-triggered heading control system (ETHCS) is proposed for an underwater gliding robot. The robot steers by adjusting the position of an internal axially moving mass, rather than with the actuators commonly used in traditional underwater vehicles. Based on the dynamic model, an energy-efficient ETHCS framework, which includes three linear velocity observers and an event-triggered high-order backstepping heading controller, is established. The three linear state observers estimate the horizontal and angular velocities of the robot using depth and attitude angles measured by a depth sensor and an attitude and heading reference system (AHRS). The controller is developed by using the dynamic surface control technique to avoid differentiating virtual control laws. A neural network is used to approximate recursive model uncertainties and disturbances. Relative threshold event-triggering conditions are designed to reduce the frequency of actuator action and the controller working time and to improve the energy-saving efficiency. The simulation and sea trial results show the effectiveness of the proposed control system.
{"title":"Event-Triggered Heading Control of an Energy-Efficient Underwater Gliding Robot","authors":"Anyan Jing;Jian Gao;Boxu Min;Jiarun Wang;Yimin Chen;Guang Pan","doi":"10.1109/TSMC.2024.3355182","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3355182","url":null,"abstract":"An energy-efficient event-triggered heading control system (ETHCS) is proposed for an underwater gliding robot. The robot steers by adjusting the position of an internal axially moving mass, rather than with the actuators commonly used in traditional underwater vehicles. Based on the dynamic model, an energy-efficient ETHCS framework, which includes three linear velocity observers and an event-triggered high-order backstepping heading controller, is established. The three linear state observers estimate the horizontal and angular velocities of the robot using depth and attitude angles measured by a depth sensor and an attitude and heading reference system (AHRS). The controller is developed by using the dynamic surface control technique to avoid differentiating virtual control laws. A neural network is used to approximate recursive model uncertainties and disturbances. Relative threshold event-triggering conditions are designed to reduce the frequency of actuator action and the controller working time and to improve the energy-saving efficiency. The simulation and sea trial results show the effectiveness of the proposed control system.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442929","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}
Pub Date : 2024-08-15DOI: 10.1109/TSMC.2024.3428533
Wei Liu;Huanyu Zhao;Yeqin Wang;Shengyuan Xu;Ju H. Park
This article presents a novel command-filter-based finite-time fuzzy preassigned performance adaptive control approach for nonlinear systems with exogenous disturbances and asymmetric time-varying constraints. Combining the asymmetric barrier Lyapunov function (ABLF) with preassigned performance control (PPC), it is ensured that the state $x_{1}$ satisfies the required asymmetric time-varying state constraints (ATSCs), and the system output y can track the desired signal with achieving preassigned performance indices (PPIs). The command-filter-based control design not only circumvents the computing complexity in the backstepping but also reduces the conservativeness of the assumption regarding the desired signal and the time-varying asymmetric constraints. Additionally, the nonlinear disturbance observer method (NDOM) is employed to effectively estimate unknown exogenous disturbances and enhance the robustness of the closed-loop system. Through rigorous theoretical analysis, the proposed finite-time command filter-based control method effectively ensures that all variables are bounded within a finite time. The practicality and feasibility of the proposed approach are further validated by simulation results.
本文针对具有外生干扰和非对称时变约束的非线性系统，提出了一种新颖的基于指令滤波的有限时间模糊预分配性能自适应控制方法。将非对称障碍李亚普诺夫函数（ABLF）与预分配性能控制（PPC）相结合，可确保状态 $x_{1}$ 满足所需的非对称时变状态约束（ATSC），并且系统输出 y 可以在实现预分配性能指标（PPI）的情况下跟踪所需的信号。基于指令滤波器的控制设计不仅规避了反步法的计算复杂性，还降低了对期望信号和非对称时变约束条件假设的保守性。此外，还采用了非线性扰动观测器方法（NDOM）来有效估计未知的外生扰动，增强闭环系统的鲁棒性。通过严格的理论分析，所提出的基于有限时间指令滤波器的控制方法能有效确保所有变量在有限时间内都是有界的。仿真结果进一步验证了所提方法的实用性和可行性。
{"title":"Finite-Time Fuzzy Preassigned-Performance Control for Nonlinear Systems Subject to Asymmetric State-Constraints Based on Command Filter","authors":"Wei Liu;Huanyu Zhao;Yeqin Wang;Shengyuan Xu;Ju H. Park","doi":"10.1109/TSMC.2024.3428533","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3428533","url":null,"abstract":"This article presents a novel command-filter-based finite-time fuzzy preassigned performance adaptive control approach for nonlinear systems with exogenous disturbances and asymmetric time-varying constraints. Combining the asymmetric barrier Lyapunov function (ABLF) with preassigned performance control (PPC), it is ensured that the state \u0000<inline-formula> <tex-math>$x_{1}$ </tex-math></inline-formula>\u0000 satisfies the required asymmetric time-varying state constraints (ATSCs), and the system output y can track the desired signal with achieving preassigned performance indices (PPIs). The command-filter-based control design not only circumvents the computing complexity in the backstepping but also reduces the conservativeness of the assumption regarding the desired signal and the time-varying asymmetric constraints. Additionally, the nonlinear disturbance observer method (NDOM) is employed to effectively estimate unknown exogenous disturbances and enhance the robustness of the closed-loop system. Through rigorous theoretical analysis, the proposed finite-time command filter-based control method effectively ensures that all variables are bounded within a finite time. The practicality and feasibility of the proposed approach are further validated by simulation results.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443069","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}
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