Ieee-Caa Journal of Automatica Sinica最新文献_第5页

Fault-Tolerant Formation Control of Multi-UAVs Using Prescribed Funnel and Relative Position Measurement 基于预定漏斗和相对位置测量的多无人机容错编队控制

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-08-01 Epub Date: 2026-08-28 DOI: 10.1109/JAS.2024.124623

Mengna Li;Ziquan Yu;Zhongyu Yang;Youmin Zhang

{"title":"Fault-Tolerant Formation Control of Multi-UAVs Using Prescribed Funnel and Relative Position Measurement","authors":"Mengna Li;Ziquan Yu;Zhongyu Yang;Youmin Zhang","doi":"10.1109/JAS.2024.124623","DOIUrl":"https://doi.org/10.1109/JAS.2024.124623","url":null,"abstract":"This paper studies a fault-tolerant formation control (FTFC) scheme for multiple unmanned aerial vehicles (multi-UAVs) without inter-agent communication under input saturation, actuator faults, and disturbances. Firstly, according to the obtained relative position measurement in the absence of inter-agent communication, a fixed-time differentiator is designed to achieve the estimate of the unknown relative velocity error signal. Then, the formation tracking error with a prescribed performance funnel is artfully constructed to realize the predetermined transient and steady-state requirements. Finally, the lumped disturbances triggered by actuator saturation, faults, and disturbances are compensated through utilizing immersion and invariance (I&I) adaptive control technique. Moreover, an auxiliary system was constructed to handle input saturation. Lyapunov stability analysis proves that even in the event of the formation team encountering actuator saturation, faults, and disturbances, the formation tracking control with the prescribed performance can be realized. Comparative simulation results illustrate the effectiveness of the proposed scheme.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"13 8","pages":"1804-1815"},"PeriodicalIF":18.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148837104","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}

引用次数: 0

Resilient MPC for Constrained CPS Against FDI Attacks with Adaptive Dual-Horizon Mechanism 基于自适应双视界机制的约束CPS抗FDI攻击弹性MPC

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-08-01 Epub Date: 2026-08-28 DOI: 10.1109/JAS.2025.125618

Ning He;Wenzhuo Li;Kai Ma

引用次数: 0

Multi-Label Causal Feature Selection Based on Unary Approximate Markov Blankets 基于一元近似马尔可夫毯子的多标签因果特征选择

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-08-01 Epub Date: 2026-08-28 DOI: 10.1109/JAS.2026.126167

Quanwang Wu;Shanwei Wang;MengChu Zhou;Chao Chen;Yanlu Gong

{"title":"Multi-Label Causal Feature Selection Based on Unary Approximate Markov Blankets","authors":"Quanwang Wu;Shanwei Wang;MengChu Zhou;Chao Chen;Yanlu Gong","doi":"10.1109/JAS.2026.126167","DOIUrl":"https://doi.org/10.1109/JAS.2026.126167","url":null,"abstract":"Multi-label feature selection (FS) plays a vital role in multi-label learning as properly selected features can be used to substantively improve classification performance and reduce training time of a classifier. Existing multi-label FS methods primarily rely on the correlations among variables but neglect causality, and consequently lack interpretability. Although causal FS techniques based on Markov blankets have been widely investigated for single-label learning, its exploration for multi-label learning is rather limited because of the more complex causal relationships in multi-label data. In this paper, we present a multi-label causal FS method that leverages the introduced concept of unary approximate Markov blankets to identify causal structure of labels. Moreover, it combines the label-label, feature-feature and label-feature relationships in multi-label datasets and restores the features that are omitted due to equivalent information among features and labels. We conduct experiments on a variety of multi-label datasets and compare our proposed method with the state-of-the-art algorithms. The results show that our approach achieves significantly better performance in terms of a number of different metrics than them, thus greatly advancing the field of multi-label FS.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"13 8","pages":"1842-1853"},"PeriodicalIF":18.3,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148837206","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}

引用次数: 0

UDE-Based Adaptive Asymptotic Tracking Control for a Dual-Arm Robot with Input-and-Output Constraints 基于ude的输入输出约束双臂机器人自适应渐近跟踪控制

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-08-01 Epub Date: 2026-08-27 DOI: 10.1109/JAS.2026.125831

Yuncheng Ouyang;Xinyong He;Xuerao Wang;Changyin Sun

引用次数: 0

Distributed Secure Estimation of LTI System Under Unbounded Multisource Attack and Unknown Input 无界多源攻击和未知输入下LTI系统的分布式安全估计

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-08-01 Epub Date: 2026-08-28 DOI: 10.1109/JAS.2025.125621

Tian-Yu Zhang;Dan Ye;Dongsheng Yang

引用次数: 0

Proportional-Integral Observer Design for Multi-Rate Systems Under Decode-and-Forward Relays: Tackling Power-Dependent Packet Dropouts 译码转发中继下多速率系统的比例积分观测器设计：解决功率相关丢包问题

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-07-01 Epub Date: 2026-08-03 DOI: 10.1109/JAS.2025.125216

Di Zhao;Zidong Wang;Derui Ding;Qing-Long Han;Guoliang Wei

{"title":"Proportional-Integral Observer Design for Multi-Rate Systems Under Decode-and-Forward Relays: Tackling Power-Dependent Packet Dropouts","authors":"Di Zhao;Zidong Wang;Derui Ding;Qing-Long Han;Guoliang Wei","doi":"10.1109/JAS.2025.125216","DOIUrl":"https://doi.org/10.1109/JAS.2025.125216","url":null,"abstract":"In this paper, the problem of proportional-integral observer (PIO) design is investigated for a class of discrete-time multi-rate systems with multiple sensors, with the sensor sampling periods being allowed to differ from the system updating periods. The facilitation of communication between sensors and the remote PIO through wireless networks, which are subject to probabilistic packet dropouts, is achieved through the utilization of a decode-and-forward relay-based strategy. The occurrence of packet dropouts is governed by a Bernoulli-distributed random variable whose probability is dependent on the available transmission power. A decode-and-forward relay-based strategy, developed based on different components, is capable of processing information from different encoders at different physical locations. For the convenience of observer design, the lifting technique is employed with aim to cast the multi-rate system into a single-rate one. By establishing sufficient conditions, the combined effect of external noises and relaying-aided communication on estimation performance is intuitively illustrated. Subsequently, a PIO with an adjustable parameter is designed by solving certain optimization problems. A simulation example is finally provided to validate the theoretical results.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"13 7","pages":"1558-1571"},"PeriodicalIF":18.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148661503","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}

引用次数: 0

Admissible Heuristic Design for Optimally Scheduling Resource Allocation Systems With Generalized Timed Petri Nets 广义定时Petri网资源最优调度系统的容许启发式设计

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-07-01 Epub Date: 2026-08-03 DOI: 10.1109/JAS.2025.125777

Yuanzheng Xiao;Yangqing Gao;Haoran Wu;Bo Huang

{"title":"Admissible Heuristic Design for Optimally Scheduling Resource Allocation Systems With Generalized Timed Petri Nets","authors":"Yuanzheng Xiao;Yangqing Gao;Haoran Wu;Bo Huang","doi":"10.1109/JAS.2025.125777","DOIUrl":"https://doi.org/10.1109/JAS.2025.125777","url":null,"abstract":"The heuristic function in Petri-net-based A* search directly influences both the search efficiency and solution quality for scheduling resource allocation systems (RASs). In the literature, some heuristic functions have been proposed, but most of them fail to consider key aspects such as token remaining time, alternative routes, weighted arcs, multiple resource copies, and batch processing ability, which are common in the place-timed Petri nets (PNs) for RASs. This paper proposes two novel heuristic functions. Both are admissible, guaranteeing the optimality of the obtained schedules. In addition, they are designed not only for ordinary PNs but also for generalized ones, which may have arc weights greater than one. They can effectively handle RAS PNs with alternative routes, weighted arcs, multiple resource copies, and batch processing capability. Most importantly, the new heuristics, especially the second one, are highly informed, leading to faster searches for optimal schedules compared to existing heuristics for generalized PNs. Experiments on several benchmark PNs of RASs have been conducted to demonstrate the effectiveness and efficiency of our methods.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"13 7","pages":"1572-1583"},"PeriodicalIF":18.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148661600","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}

引用次数: 0

SDformer: Fusing Series Decomposition for Superior Long-Term Time Series Forecasting SDformer：用于长期时间序列预测的融合序列分解

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-07-01 Epub Date: 2026-08-03 DOI: 10.1109/JAS.2025.125588

Jiayi Li;Zihang Zhang;Chao Zhang;Jun Tang;Shangce Gao

{"title":"SDformer: Fusing Series Decomposition for Superior Long-Term Time Series Forecasting","authors":"Jiayi Li;Zihang Zhang;Chao Zhang;Jun Tang;Shangce Gao","doi":"10.1109/JAS.2025.125588","DOIUrl":"https://doi.org/10.1109/JAS.2025.125588","url":null,"abstract":"Long-term time series forecasting is crucial in numerous real-world dynamic systems and has garnered extensive research attention. In the context of time series forecasting, time series decomposition serves as an effective tool for analyzing time series data, enabling the extraction of underlying patterns and trends that enhance predictive accuracy. Despite its potential, time series decomposition has been underutilized in existing models that incorporate decomposition architectures, particularly in feature extraction. To address this gap, we propose the series decomposition encoder (SDE) block, which separates time series data into seasonal and trend components. By leveraging these decomposed elements, the SDE block enhances the model's ability to capture essential temporal features. We substitute the initiallayer of the conventional Transformer architecture with SDE, thereby introducing the series decomposition transformer (SDformer). Empirical assessments on nine benchmark datasets substantiate that our proposed SDformer attains state-of-the-art performance in long-term forecasting. The code implementation is available at the provided repository: https://github.com/Rirock/SDformer.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"13 7","pages":"1626-1641"},"PeriodicalIF":18.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148661669","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}

引用次数: 0

Robust Tracking Control of Automated Vehicles With Model Uncertainties: An Actor-Critic Learning Strategy 具有模型不确定性的自动驾驶车辆鲁棒跟踪控制：一种行为者-批评家学习策略

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-07-01 Epub Date: 2026-08-03 DOI: 10.1109/JAS.2025.125648

Zhao-Qing Liu;Hao Xie;Lei Ding;Liping Han

引用次数: 0

Protection-Strategy-Based Distributed State Estimation for Nonlinear Complex Networks Against Random False Data Injection Attacks 基于保护策略的非线性复杂网络抗随机假数据注入的分布式状态估计

IF 18.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2026-07-01 Epub Date: 2026-08-03 DOI: 10.1109/JAS.2025.125951

Jun Hu;Bingxin Lei;Raquel Caballero-Águila;Hongli Dong

{"title":"Protection-Strategy-Based Distributed State Estimation for Nonlinear Complex Networks Against Random False Data Injection Attacks","authors":"Jun Hu;Bingxin Lei;Raquel Caballero-Águila;Hongli Dong","doi":"10.1109/JAS.2025.125951","DOIUrl":"https://doi.org/10.1109/JAS.2025.125951","url":null,"abstract":"This paper addresses the protection-strategy-based distributed state estimation (SE) problem for time-varying non-linear complex networks, where uncertain inner coupling and random false data injection attacks are considered. Owing to the fact that the measurement signals can be easily injected with false data by potential attackers before being transmitted to the estimator, a novel protection strategy is firstly proposed from the perspective of the defender to mitigate the effects of malicious attacks on the estimation performance. Based on the proposed protection strategy, more suspicious and unreliable measurements received are identified and discarded respectively. Accordingly, the zero-order holder strategy is employed to compensate for the discarded measurements. Subsequently, the purpose of this paper is to design a protection-strategy-based distributed SE scheme such that an optimized upper bound (UB) on the estimation error covariance (EEC) is obtained. Furthermore, a sufficient criterion is provided to guarantee the uniform boundedness of UB on the EEC. Finally, a localization problem involving multiple mobile robots is used to demonstrate the effectiveness and practicality of proposed variance-constrained optimized SE method.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"13 7","pages":"1657-1672"},"PeriodicalIF":18.3,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148661878","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}

引用次数: 0