Ieee-Caa Journal of Automatica Sinica最新文献_第2页

Distributed Nash Equilibrium Seeking for Games Under Unknown Dead-Zone Inputs and DoS Attacks: A Digital Twin Approach 未知死区输入和DoS攻击下博弈的分布式纳什均衡寻求：数字孪生方法

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2024.124875

Ming Yang;Maojiao Ye;Jun Shi

引用次数: 0

Stability, Control and Fault Diagnosis of Switched Linear Parameter Varying Systems: A Survey 切换线性变参数系统的稳定性、控制与故障诊断综述

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125282

Yanzheng Zhu;Junxing Che;Fen Wu;Xinkai Chen;Weixing Zheng;Donghua Zhou

引用次数: 0

Active Compression on Unknown Disturbance and Uncertainty via Extended State Observer 扩展状态观测器对未知干扰和不确定性的主动压缩

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125342

Jiuqiang Deng;Luyao Zhang;Wenchao Xue;Qiliang Bao;Yao Mao

{"title":"Active Compression on Unknown Disturbance and Uncertainty via Extended State Observer","authors":"Jiuqiang Deng;Luyao Zhang;Wenchao Xue;Qiliang Bao;Yao Mao","doi":"10.1109/JAS.2025.125342","DOIUrl":"https://doi.org/10.1109/JAS.2025.125342","url":null,"abstract":"Extended state observer (ESO) is heavily limited by the unknown disturbance and its derivative, which requires high observing gains to decrease estimating error, resulting in serious noise sensitivity. To modify the disturbance estimation characteristics encountered by the observer, the active compression extended state observer (ACESO) is proposed in this study. The ACESO decreases the bound of residual lumped disturbance and its derivative by actively compressing the initial lumped disturbance, without relying on prior knowledge. The stability constraint and convergence results of ACESO are analyzed and compared with ESO theoretically. The results show that the ACESO mitigates the trade-off between noise sensitivity and high-gain observation. Benefiting from active compression, the ACESO has substantially less noise sensitivity than the ESO, while obtaining the same and even better estimating performance than the ESO. In addition, the nonlinear ACESO is discussed, which automatically balances the contradiction between estimation and convergence. Simulations and experiments demonstrate the effectiveness of the proposed methods.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 9","pages":"1878-1892"},"PeriodicalIF":19.2,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335346","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

Review on Particle Swarm Optimization: Application Toward Autonomous Dynamical Systems 粒子群算法在自主动力系统中的应用

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2024.125028

Kavan Bojappa;Junsoo Lee

引用次数: 0

Dynamic Evolutionary Game-Based Staking Pool Selection Modeling and Decentralization Enhancement for Blockchain System 基于动态进化博弈的区块链系统押注池选择建模及去中心化增强

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125447

Shasha Yu;Yanan Qiao;Fan Yang;Wenjia Zhao;Junge Bo

{"title":"Dynamic Evolutionary Game-Based Staking Pool Selection Modeling and Decentralization Enhancement for Blockchain System","authors":"Shasha Yu;Yanan Qiao;Fan Yang;Wenjia Zhao;Junge Bo","doi":"10.1109/JAS.2025.125447","DOIUrl":"https://doi.org/10.1109/JAS.2025.125447","url":null,"abstract":"The proof-of-stake (PoS) mechanism is a consensus protocol within blockchain technology that determines the validation of transactions and the minting of new blocks based on the participant's stake in the cryptocurrency network. In contrast to proof-of-work (PoW), which relies on computational power to validate transactions, PoS employs a deterministic and resource-efficient approach to elect validators. Whereas, an inherent risk of PoS is the potential for centralization among a small cohort of network participants possessing substantial stakes, jeopardizing system decentralization and posing security threats. To mitigate centralization issues within PoS, this study introduces an incentive-aligned mechanism named decentralized proof-of-stake (DePoS), wherein the second-largest stakeholder is chosen as the final validator with a higher probability. Integrated with the verifiable random function (VRF), DePoS rewards the largest stake-holder with uncertainty, thus disincentivizing stakeholders from accumulating the largest stake. Additionally, a dynamic evolutionary game model is innovatively developed to simulate the evolution of staking pools, thus facilitating the investigation of staking pool selection dynamics and equilibrium stability across PoS and DePoS systems. The findings demonstrate that DePoS generally fosters wealth decentralization by discouraging the accumulation of significant cryptocurrency holdings. Through theoretical analysis of stakeholder predilection in staking pool selection and the simulation of the evolutionary tendency in pool scale, this research demonstrates the comparative advantage in decentralization offered by DePoS over the conventional PoS.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 9","pages":"1850-1865"},"PeriodicalIF":19.2,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335284","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

Unsupervised Dynamic Discrete Structure Learning: A Geometric Evolution Method 无监督动态离散结构学习：一种几何演化方法

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125165

Chaoqun Fei;Yangyang Li;Xikun Huang;Ge Zhang;Ruqian Lu

{"title":"Unsupervised Dynamic Discrete Structure Learning: A Geometric Evolution Method","authors":"Chaoqun Fei;Yangyang Li;Xikun Huang;Ge Zhang;Ruqian Lu","doi":"10.1109/JAS.2025.125165","DOIUrl":"https://doi.org/10.1109/JAS.2025.125165","url":null,"abstract":"Revealing the latent low-dimensional geometric structure of high-dimensional data is a crucial task in unsupervised representation learning. Traditional manifold learning, as a typical method for discovering latent geometric structures, has provided important nonlinear insight for the theoretical development of unsupervised representation learning. However, due to the shallow learning mechanism of the existing methods, they can only exploit the simple geometric structure embedded in the initial data, such as the local linear structure. Traditional manifold learning methods are fairly limited in mining higher-order non-linear geometric information, which is also crucial for the development of unsupervised representation learning. To address the abovementioned limitations, this paper proposes a novel dynamic geometric structure learning model (DGSL) to explore the true latent nonlinear geometric structure. Specifically, by mathematically analysing the reconstruction loss function of manifold learning, we first provide universal geometric relational function between the curvature and the non-Euclidean metric of the initial data. Then, we leverage geometric flow to design a deeply iterative learning model to optimize this relational function. Our method can be viewed as a general-purpose algorithm for mining latent geometric structures, which can enhance the performance of geometric representation methods. Experimentally, we perform a set of representation learning tasks on several datasets. The experimental results show that our proposed method is superior to traditional methods.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 9","pages":"1920-1937"},"PeriodicalIF":19.2,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335285","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

Model-Based Decentralized Dynamic Periodic Event-Triggered Control for Nonlinear Systems Subject to Packet Losses 基于模型的非线性丢包系统分散动态周期事件触发控制

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125459

Chengchao Li;Xudong Zhao;Wei Xing;Ning Xu;Ning Zhao

{"title":"Model-Based Decentralized Dynamic Periodic Event-Triggered Control for Nonlinear Systems Subject to Packet Losses","authors":"Chengchao Li;Xudong Zhao;Wei Xing;Ning Xu;Ning Zhao","doi":"10.1109/JAS.2025.125459","DOIUrl":"https://doi.org/10.1109/JAS.2025.125459","url":null,"abstract":"This paper studies the problem of designing a model-based decentralized dynamic periodic event-triggering mechanism (DDPETM) for networked control systems (NCSs) subject to packet losses and external disturbances. Firstly, the entire NCSs, comprising the triggering mechanism, packet losses and output-based controller, are unified into a hybrid dynamical framework. Secondly, by introducing dynamic triggering variables, the DDPETM is designed to conserve network resources while guaranteeing desired performance properties and tolerating the maximum allowable number of successive packet losses. Thirdly, some stability conditions are derived using the Lyapunov approach. Differing from the zero-order-hold (ZOH) case, the model-based control sufficiently exploits the model information at the controller side. Between two updates, the controller predicts the plant state based on the models and received feedback information. With the model-based control, less transmission may be expected than with ZOH. Finally, numerical examples and comparative experiments demonstrate the effectiveness of the proposed method.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 9","pages":"1908-1919"},"PeriodicalIF":19.2,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335343","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

Parallel Experiments: From The Human Participated to A Virtual-Real Hybrid Paradigm 平行实验：从人参与到虚实混合范式

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-08-20 DOI: 10.1109/JAS.2025.125474

Peijun Ye;Xiao Xue;Qinghua Ni;Jing Yang;Fei-Yue Wang

引用次数: 0

Average Consensus of Whole-Process Privacy Preservation 全程隐私保护的平均共识

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-08-20 DOI: 10.1109/JAS.2024.124731

Lianghao Ji;Shaohong Tang;Xing Guo;Yan Xie

引用次数: 0

Data-Driven Calibration of Industrial Robots: A Comprehensive Survey 数据驱动的工业机器人标定：综合调查

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-08-20 DOI: 10.1109/JAS.2025.125237

Tinghui Chen;Weiyi Yang;Shuai Li;Xin Luo

{"title":"Data-Driven Calibration of Industrial Robots: A Comprehensive Survey","authors":"Tinghui Chen;Weiyi Yang;Shuai Li;Xin Luo","doi":"10.1109/JAS.2025.125237","DOIUrl":"https://doi.org/10.1109/JAS.2025.125237","url":null,"abstract":"Industrial robots, as the fundamental component for intelligent manufacturing, have attracted considerable attention from both academia and industry. Since its absolute positioning accuracy can suffer from collision, wear, elastic, or inelastic deformation during its operation, a data-driven calibration (DDC) model has become a trending technique. It utilizes abundant data to decrease the difficulty in building complex system models, making it an economic and efficient approach to robot calibration. This paper conducts a comprehensive survey of the state-of-the-art DDC models with the following six-fold efforts: a) Summarizing the DDC modeling methods; b) Categorizing the latest progress of DDC optimization algorithms; c) Investigating the publicly available datasets and several typical metrics; d) Evaluating several widely adopted DDC models to demonstrate their calibration performance; e) Introducing the applications of the current DDC models; f) Discussing the progressing trend of DDC models. This paper strives to present a systematic and thorough overview of the existing DDC models from modeling to kinematic parameter optimization, thereby providing some guidance for research in this field.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 8","pages":"1544-1567"},"PeriodicalIF":19.2,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880576","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