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

Efficient Knowledge-Guided Self-Evolving Intelligent Behavioral Control for Autonomous Vehicles 基于知识引导的自动驾驶汽车高效自进化智能行为控制

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-07-01 DOI: 10.1109/JAS.2024.124746

Qiao Peng;Kailong Liu;Jingda Wu;Amir Khajepour

引用次数: 0

Secure Consensus Control on Multi-Agent Systems Based on Improved PBFT and Raft Blockchain Consensus Algorithms 基于改进PBFT和Raft区块链共识算法的多智能体系统安全共识控制

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-07-01 DOI: 10.1109/JAS.2025.125300

Jing Zhu;Chengfang Lu;Juanjuan Li;Fei-Yue Wang

{"title":"Secure Consensus Control on Multi-Agent Systems Based on Improved PBFT and Raft Blockchain Consensus Algorithms","authors":"Jing Zhu;Chengfang Lu;Juanjuan Li;Fei-Yue Wang","doi":"10.1109/JAS.2025.125300","DOIUrl":"https://doi.org/10.1109/JAS.2025.125300","url":null,"abstract":"There has been significant recent research on secure control problems that arise from the open and complex real-world industrial environments. This paper focuses on addressing the issue of secure consensus control in multi-agent systems (MASs) under malicious attacks, utilizing the practical Byzantine fault tolerance (PBFT) and Raft consensus algorithm in blockchain. Unlike existing secure consensus control algorithms that have strict requirements for topology and high communication costs, our approach introduces a node grouping methodology based on system topology. Additionally, we utilize the PBFT consensus algorithm for intergroup leader identity verification, effectively reducing the communication complexity of PBFT in large-scale networks. Furthermore, we enhance the Raft algorithm through cryptographic validation during followers' log replication, which enhances the security of the system. Our proposed consensus process not only identifies the identities of malicious agents but also ensures consensus among normal agents. Through extensive simulations, we demonstrate robust convergence, particularly in scenarios with the relaxed topological requirements. Comparative experiments also validate the algorithm's lower consensus latency and improved efficiency compared to direct PBFT utilization for identity verification and classical secure consensus control method mean subsequence reduced (MSR) algorithm.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 7","pages":"1407-1417"},"PeriodicalIF":15.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144536431","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 Optimization Control for Cyber-Physical Systems Subject to Jamming Attack: A Nested Game Approach 受干扰攻击的网络物理系统鲁棒优化控制：一种嵌套博弈方法

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-06-16 DOI: 10.1109/JAS.2023.123873

Min Shi;Yuan Yuan

{"title":"Robust Optimization Control for Cyber-Physical Systems Subject to Jamming Attack: A Nested Game Approach","authors":"Min Shi;Yuan Yuan","doi":"10.1109/JAS.2023.123873","DOIUrl":"https://doi.org/10.1109/JAS.2023.123873","url":null,"abstract":"Dear Editor, With the advances in computing and communication technologies, the cyber-physical system (CPS), has been used in lots of industrial fields, such as the urban water cycle, internet of things, and human-cyber systems [1], [2], which has to face up to malicious cyber-attacks towards cyber communication of control commands. Specifically, jamming attack is regarded as one of the most common attacks of decreasing network performance. Game theory is widely regarded as a method of accurately describing the interaction between jamming attacker and legitimate user [3]. In the cyber layer, the signal game model has been utilized to describe the transmission between the attacker and defender [4]. However, most previous game theoretical researches are not feasible to meet the demands of industrial CPSs mainly due to the shared communication network nature. Specifically, it leads to incomplete information for players of game owing to various network-induced phenomena and employed communication protocols. In the physical layer, the secure control [5] and estimation [6] under attack detection have been studied for CPSs. However, these methods not only rely heavily on signals injection detection, but also have no access to smart attackers who launch covert attacks so that data receivers cannot observe the attack behaviour [7]. Accordingly, the motivation arising here is to tackle the nested game problem for CPSs subject to jamming attack.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 6","pages":"1286-1288"},"PeriodicalIF":15.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11036661","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299410","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}

引用次数: 0

SILIC: Intelligent On/Off Control for Networked Solar Insecticidal Lamps SILIC：联网太阳能杀虫灯的智能开/关控制

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-06-16 DOI: 10.1109/JAS.2024.124668

Heyang Yao;Lei Shu;Yuli Yang;Miguel Martínez-García;Wei Lin

{"title":"SILIC: Intelligent On/Off Control for Networked Solar Insecticidal Lamps","authors":"Heyang Yao;Lei Shu;Yuli Yang;Miguel Martínez-García;Wei Lin","doi":"10.1109/JAS.2024.124668","DOIUrl":"https://doi.org/10.1109/JAS.2024.124668","url":null,"abstract":"The solar insecticidal lamp (SIL) is an innovative green control device. Nevertheless, a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency. The substantial energy consumption required to turn on the SIL, coupled with the extension of insecticidal working time during the low pest activity periods, can result in low energy efficiency. Especially when the energy storage level is below 50%, the inefficient use of energy significantly reduces the effectiveness of pest control. Consequently, an ineffective on/off scheme for these lamps may lead to suboptimal energy utilization. In this paper, we present the solar insecticidal lamp intelligent energy management scheme (SIL-IEMS) to address the challenge of inefficient energy utilization in the solar insecticidal lamp internet of things (SIL-IoT). SIL-IEMS primarily utilizes genetic algorithm (GA) and greedy algorithms to optimize insecticidal working time by considering constraints such as residual energy and the number of trap pests. Comparing SIL-IEMS to the traditional remote switching method (TRSM) and the solar insecticidal lamp genetic algorithm (SILGA), our simulation results showcase its superior energy efficiency and pest control effectiveness. Particularly noteworthy is the SILIEMS's 17.6% increase in insecticidal efficiency compared to TRSM and 6% improvement over SILGA when the SIL begins with a remaining energy level of 15%.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 6","pages":"1221-1235"},"PeriodicalIF":15.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299411","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

Embodied Multi-Agent Systems: A Review 嵌入式多智能体系统：综述

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-06-16 DOI: 10.1109/JAS.2025.125552

Zhuo Li;Weiran Wu;Yunlong Guo;Jian Sun;Qing-Long Han

{"title":"Embodied Multi-Agent Systems: A Review","authors":"Zhuo Li;Weiran Wu;Yunlong Guo;Jian Sun;Qing-Long Han","doi":"10.1109/JAS.2025.125552","DOIUrl":"https://doi.org/10.1109/JAS.2025.125552","url":null,"abstract":"Multi-agent systems (MASs) have demonstrated significant achievements in a wide range of tasks, leveraging their capacity for coordination and adaptation within complex environments. Moreover, the enhancement of their intelligent functionalities is crucial for tackling increasingly challenging tasks. This goal resonates with a paradigm shift within the artificial intelligence (AI) community, from “internet AI” to “embodied AI”, and the MASs with embodied AI are referred to as embodied multi-agent systems (EMASs). An EMAS has the potential to acquire generalized competencies through interactions with environments, enabling it to effectively address a variety of tasks and thereby make a substantial contribution to the quest for artificial general intelligence. Despite the burgeoning interest in this domain, a comprehensive review of EMAS has been lacking. This paper offers analysis and synthesis for EMASs from a control perspective, conceptualizing each embodied agent as an entity equipped with a “brain” for decision and a “body” for environmental interaction. System designs are classified into open-loop, closed-loop, and double-loop categories, and EMAS implementations are discussed. Additionally, the current applications and challenges faced by EMASs are summarized and potential avenues for future research in this field are provided.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 6","pages":"1095-1116"},"PeriodicalIF":15.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299412","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

Bearings-Only Target Motion Analysis via Deep Reinforcement Learning 基于深度强化学习的方位目标运动分析

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-06-16 DOI: 10.1109/JAS.2024.124449

Chengyi Zhou;Meiqin Liu;Senlin Zhang;Ronghao Zheng;Shanling Dong

引用次数: 0

Multi-Phase Degradation Modeling Based on Uncertain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties 基于不确定随机过程的多阶段退化模型在三不确定性下的剩余使用寿命预测

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-06-13 DOI: 10.1109/JAS.2024.124791

Xuerui Cao;Kaixiang Peng;Ruihua Jiao

{"title":"Multi-Phase Degradation Modeling Based on Uncertain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties","authors":"Xuerui Cao;Kaixiang Peng;Ruihua Jiao","doi":"10.1109/JAS.2024.124791","DOIUrl":"https://doi.org/10.1109/JAS.2024.124791","url":null,"abstract":"Due to abrupt changes in the intrinsic degradation mechanism or shock from external environmental pressure, degradations of some equipment are characterized by multi-phase and jumps. Meanwhile, equipment is subject to inherent fluctuations, limited data and imperfect measurements resulting in aleatory, epistemic and measurement uncertainties of the degradation process. This paper proposes a degradation model and remaining useful life (RUL) prediction method under triple uncertainties for a category of complex equipment with multi-phase degradation and jumps. First, a multi-phase degradation model with random jumps and measurement errors is constructed based on uncertain random processes. Afterward, the analytic expression of RUL prediction considering the heterogeneity is derived by modeling the uncertainty of degradation states at change points under the concept of first hitting time. A stochastic uncertain approach is utilized for the proposed multi-phase degradation model to identify model parameters based on historical data. Furthermore, the implied degradation features are adaptively updated in online stage using similarity-based weighted stochastic uncertain maximum likelihood estimation and Kalman filtering. Finally, the effectiveness of the method is verified by simulation example and practical case.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 6","pages":"1129-1143"},"PeriodicalIF":15.3,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281267","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

Knowledge Classification-Assisted Evolutionary Multitasking for Two-Task Multiobjective Optimization Problems 双任务多目标优化问题的知识分类辅助进化多任务

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-06-13 DOI: 10.1109/JAS.2024.125070

Xiaoling Wang;Qi Kang;MengChu Zhou;Qi Deng;Zheng Fan;Haoyue Liu

{"title":"Knowledge Classification-Assisted Evolutionary Multitasking for Two-Task Multiobjective Optimization Problems","authors":"Xiaoling Wang;Qi Kang;MengChu Zhou;Qi Deng;Zheng Fan;Haoyue Liu","doi":"10.1109/JAS.2024.125070","DOIUrl":"https://doi.org/10.1109/JAS.2024.125070","url":null,"abstract":"To realize Industry 5.0, manufacturers face various optimization problems that seldom appear in isolation. Evolutionary MultiTasking (EMT) is an effective method to solve multiple related problems by extracting and utilizing common knowledge. Knowledge transfer is the key to the effectiveness of EMT. Existing EMT methods mainly focus on designing effective intertask learning methods and ignore the fact that provided knowledge's appropriateness also has a significant effect on EMT's performance. There is plentiful knowledge in assistant tasks, and knowledge transfer may not work well and even lead to a negative effect if useless knowledge is selected to guide target tasks. EMT is thus confronted with a challenge to find appropriate knowledge. This work proposes an efficient knowledge classification-assisted EMT framework to identify and select valuable knowledge from assistant tasks. During the evolution process, better-performing candidates are supposed to have advantages in exploitation. Therefore, assistant individuals that are similar to better-performing target individuals are used to provide positive knowledge. Specifically, the target sub-population is divided into different levels and then a classifier is trained to divide assistant sub-population. Considering that target and assistant sub-populations have different characteristics, we use domain adaptation to reduce their distribution discrepancies. In this way, the trained classifier can classify assistant individuals more accurately, and truly useful knowledge can be selected for target tasks. The superior performance of our proposed framework over state-of-the-art algorithms is verified via a series of benchmark problems.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 6","pages":"1176-1193"},"PeriodicalIF":15.3,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281237","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

Data-Driven Adaptive PID Tracking Control of a Class of Nonlinear Systems 一类非线性系统的数据驱动自适应PID跟踪控制

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-06-13 DOI: 10.1109/JAS.2025.125177

Tong Mu;Haibin Guo;Chuandong Bai;Zhong-Hua Pang

引用次数: 0

Reinforcement Learning-Based Spectral Performance Optimization for UAV-Assisted MIMO Communication System 基于强化学习的无人机辅助MIMO通信系统频谱性能优化

IF 15.3 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-06-13 DOI: 10.1109/JAS.2025.125225

Lu Dong;Hong-Wei Kong;Xin Yuan

{"title":"Reinforcement Learning-Based Spectral Performance Optimization for UAV-Assisted MIMO Communication System","authors":"Lu Dong;Hong-Wei Kong;Xin Yuan","doi":"10.1109/JAS.2025.125225","DOIUrl":"https://doi.org/10.1109/JAS.2025.125225","url":null,"abstract":"Dear Editor, This letter is concerned with the problem of stable high-quality signal transmission of unmanned aerial vehicle (UAV)-assisted multiple-input multiple-output (MIMO) communication system. The particle swarm optimization (PSO) algorithm is used to achieve optimal beamforming and power allocation for this system. Additionally, sensitive particle (SP) and parameter adaptive adjustment are introduced into the traditional PSO algorithm, aiming to improve the performance of the PSO algorithm in dynamic environments with real-time changes in the UAV position. A reinforcement learning (RL)-based approach is proposed to obtain optimal UAV trajectory and adaptive adjustment strategy for PSO parameters, which combine with a specific obstacle avoidance scheme to achieve accurate UAV navigation while satisfying high-quality signal transmission. Simulation experiments show that our scheme provides higher and more stable spectral efficiency as well as more efficient UAV navigation than the currently commonly used scheme with a single RL approach.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 6","pages":"1283-1285"},"PeriodicalIF":15.3,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11036657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281242","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}

引用次数: 0