IEEE Transactions on Systems Man Cybernetics-Systems最新文献

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Stabilization for Switched Systems Based on Switching Event-Triggered Bumpless Transfer Strategy 基于交换事件触发无颠簸传输策略的交换系统镇定
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-10 DOI: 10.1109/TSMC.2025.3574416
Yani Yang;Yue-E Wang;Di Wu
{"title":"Stabilization for Switched Systems Based on Switching Event-Triggered Bumpless Transfer Strategy","authors":"Yani Yang;Yue-E Wang;Di Wu","doi":"10.1109/TSMC.2025.3574416","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3574416","url":null,"abstract":"This article studies the stabilization problem and the bumpless transfer performance for switched systems. First, a novel switching event-triggered bumpless transfer strategy (SETBTS) with input bias and waiting time is proposed. Compared with existing event-triggered strategies, the proposed SETBTS has two advantages: 1) a waiting time to directly eliminate the Zeno phenomenon and 2) an input bias to overcome the influence of control bumps on the control performance. Then, based on the new SETBTS, the generalized bumpless transfer criteria are given to state the control amplitude level at the switching instants. Next, switching Lyapunov functional method is utilized to obtain sufficient criteria to ensure the globally uniformly exponential stability and the bumpless transfer performance for the considered systems. Moreover, the solvability conditions of the parameter matrices in SETBTS and the controller gains are established. Finally, the validity of the proposed methodology is verified by two examples.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5531-5540"},"PeriodicalIF":8.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657401","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
A Bidding-Based Deep Reinforcement Learning Approach for Multi-Agent Job Shop Scheduling Problem 基于竞价的多智能体作业车间调度深度强化学习方法
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-10 DOI: 10.1109/TSMC.2025.3572451
Gaopan Shen;Shudong Sun;Yaqiong Liu
{"title":"A Bidding-Based Deep Reinforcement Learning Approach for Multi-Agent Job Shop Scheduling Problem","authors":"Gaopan Shen;Shudong Sun;Yaqiong Liu","doi":"10.1109/TSMC.2025.3572451","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3572451","url":null,"abstract":"In demand-driven personalized production, multi-agent job shop scheduling problem plays a pivotal role. Balancing the private preferences between consumers poses a challenge in achieving efficient resource allocation. A bidding-based deep reinforcement learning approach is proposed to generate a consensus schedule. An intelligent selector and an intelligent bidder (IB) are designed for each consumer to perform operation selection and determine the corresponding bid price, respectively. A job shop agent is established to collect bids and allocate resource through winner determination. To assist the IB to learn the correlation between consumers and the multi-agent job shop scheduling environment without revealing preferences, a graph neural network is adopted to extract observations. A reward function based on critic value guides the negotiation process among IBs. Extensive computational experiments demonstrate that the proposed approach achieves high social welfare outcomes. It outperforms in handling large-scale instances with more than 11 consumers and 20 jobs per consumer.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5642-5654"},"PeriodicalIF":8.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657414","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
Impact of Opinion-Driven Adaptive Vigilance on Virus Spread and Opinion Evolution 舆论驱动的适应性警惕对病毒传播和舆论演变的影响
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-10 DOI: 10.1109/TSMC.2025.3573298
Shidong Zhai;Shijie Yin;Fenglan Sun;Jürgen Kurths
{"title":"Impact of Opinion-Driven Adaptive Vigilance on Virus Spread and Opinion Evolution","authors":"Shidong Zhai;Shijie Yin;Fenglan Sun;Jürgen Kurths","doi":"10.1109/TSMC.2025.3573298","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3573298","url":null,"abstract":"In order to investigate how different levels of vigilance affect the spread of a virus and changes in public opinion, this article introduces a network-based susceptible-exposed-infectious-vigilant (SEIV)-Opinion model. The model incorporates vigilance influence functions that depend on infection and recovery rates, which are associated with opinion states. A basic reproduction number dependent on both the viral transmission state and public opinion dynamics is constructed to analyze the conditions for virus eradication or pandemic persistence. These findings indicate that during severe epidemics, people are very concerned about the epidemic, leading to an increased vigilance, thereby significantly slowing the spread of the virus. On the other hand, during milder epidemics, people do not respond adequately to the threat of the epidemic, and thus are less vigilant and have less impact on the spread of the virus. These insights correlate closely with real-world trends. This article uses numerical simulations to demonstrate and confirm these patterns under various conditions.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5596-5606"},"PeriodicalIF":8.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657386","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
Event-Triggered Fault-Tolerant Consensus Control of Multiagent Systems With Hybrid Attacks 具有混合攻击的多智能体系统的事件触发容错一致性控制
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-10 DOI: 10.1109/TSMC.2025.3571020
Chun Liu;Bin Jiang;Youmin Zhang;Xiaoqiang Ren;Xiaofan Wang
{"title":"Event-Triggered Fault-Tolerant Consensus Control of Multiagent Systems With Hybrid Attacks","authors":"Chun Liu;Bin Jiang;Youmin Zhang;Xiaoqiang Ren;Xiaofan Wang","doi":"10.1109/TSMC.2025.3571020","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3571020","url":null,"abstract":"In this study, the fault-tolerant consensus control (FTCC) challenge is investigated for nonlinear multiagent systems (MASs) in the simultaneous occurrence of abrupt and incipient actuator/sensor faults in the physical level and hybrid Deception/Denial-of-Service (DoS) attacks in the cyber level. For security enhancement and/or safety maintenance purposes, an unknown state and fault decoupling-based augmented estimator is first devised, and a distributed event-triggered FTCC protocol is then developed to achieve strength against hostile attacks and faults, respectively, with the incorporation of augmented state estimation, neighboring sensor fault estimation, and latest successfully triggered output interaction. By constructing dual indicators along with average dwelling time and attack frequency technique, criteria of exponential mean-square consensus of the nonlinear MASs subject to hybrid attacks are obtained. In the end, simulation is outlined to illustrate the efficacy and improvements of the developed event-triggered FTCC methodology.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5541-5552"},"PeriodicalIF":8.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657415","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
Observer-Based Dissipative ISMC for Asynchronous Switched Systems: A Novel LMI Technique 基于观测器的异步交换系统耗散ISMC:一种新的LMI技术
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-09 DOI: 10.1109/TSMC.2025.3572897
T. Saravanakumar;Quanxin Zhu;Chee Peng Lim
{"title":"Observer-Based Dissipative ISMC for Asynchronous Switched Systems: A Novel LMI Technique","authors":"T. Saravanakumar;Quanxin Zhu;Chee Peng Lim","doi":"10.1109/TSMC.2025.3572897","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3572897","url":null,"abstract":"This work reports design problem of the observer-based integral sliding mode control for switched time-delay systems via asynchronous switching and dissipative condition. The main purpose of observer is to estimate the system’s entire state information based on measurement outputs, and further the observer states are used to create the controller. First, an improved free-weighting matrix inequality is introduced for concerning switched systems (SSs) to reduce conservatism of the integral terms. Then, a novel asymmetric Lyapunov-Krasovskii functional (LKF) is constructed for analysing the exponential stability of SSs with time-delay. With the help of improved integral inequality and novel LKF, a new set of sufficient conditions is developed in the form of linear matrix inequalities (LMIs). The developed criteria based on the sliding mode controller with observer scheme ensure that the proposed systems is exponentially stable with dissipative performance. Finally, numerical simulations are given to illustrate the usefulness and benefit of the proposed methods.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5628-5641"},"PeriodicalIF":8.6,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657421","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
Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization 目标约束关联导向的昂贵约束优化进化方向自适应调整
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-09 DOI: 10.1109/TSMC.2025.3573195
Kunjie Yu;Fan Chen;Jing Liang;Mingyuan Yu;Ke Chen;Caitong Yue;Ying Bi
{"title":"Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization","authors":"Kunjie Yu;Fan Chen;Jing Liang;Mingyuan Yu;Ke Chen;Caitong Yue;Ying Bi","doi":"10.1109/TSMC.2025.3573195","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3573195","url":null,"abstract":"For expensive constrained optimization problems (ECOPs), the evaluation of the objective and constraints are both expensive. Due to the low computational cost of the surrogate model and the excellent search capabilities of evolutionary algorithms, surrogate-assisted evolutionary algorithms (SAEAs) have become a popular approach for solving ECOPs. When solving ECOPs, the errors in the objective and constraint surrogates will inevitably mislead the direction of evolution, making it difficult to find feasible solutions and avoid local optima. To defeat this issue, we propose an SAEA capable of adjusting the evolutionary direction to search in the correct direction as much as possible. Specifically, the correlation between objective and constraint is first analyzed, and then adaptive adjustments are made based on this correlation to revise the evolutionary direction throughout the three stages of the evolutionary process. For reproduction, an offspring enhanced generation strategy is proposed to generate promising and diverse offspring. For sampling, a dynamic infill sampling criterion is designed to select the most suitable solutions for expensive evaluations, thereby accelerating convergence. Finally, an adaptive environment selection strategy is designed to choose parents with more potential for improvement. The proposed method is evaluated on commonly used benchmark test functions and four engineering examples, with experimental results indicating its superior performance compared to other advanced methods.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5758-5772"},"PeriodicalIF":8.6,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663721","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
Image Compression for Resource-Constrained AIoT System With Compressed Sensing 基于压缩感知的资源受限AIoT系统图像压缩
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-06 DOI: 10.1109/TSMC.2025.3571480
Bin Chen;Yujun Huang;Han Qiu;Shu-Tao Xia;Wei Fei;Xuan Wang;Meikang Qiu
{"title":"Image Compression for Resource-Constrained AIoT System With Compressed Sensing","authors":"Bin Chen;Yujun Huang;Han Qiu;Shu-Tao Xia;Wei Fei;Xuan Wang;Meikang Qiu","doi":"10.1109/TSMC.2025.3571480","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3571480","url":null,"abstract":"In today’s big data era, a key requirement is to implement intelligent semantic analysis (such as image recognition) on data gathered from an extensive array of smart devices in Artificial Intelligence IoT (AIoT) scenarios, all of which is processed at central cloud service providers. Recent advancements in deep-learning-based image compression have fostered semantic compression between machines. However, the deployment of an overparameterized encoder on Internet of Things (IoT) devices remains a challenge due to their restricted computing and storage capabilities. To tackle this issue, we propose a novel approach named compressed sensing (CS)-based asymmetric semantic image compression (CS-ASIC), explicitly designed for resource-constrained AIoT systems. This asymmetric semantic compression scheme intends to surpass the limitations of IoT devices, thereby facilitating efficient semantic compression for machine vision tasks. CS-ASIC notably includes a lightweight front encoder founded on deep image CS techniques, which utilizes rich image priors to learn measurement matrices for sampling. In tandem, a deep iterative decoder is designed cooperatively with the linear encoder offloaded at the server to enhance image reconstruction and semantic analysis across various semantic analysis tasks. Furthermore, we introduce a groundbreaking lossy CS semantic rate-distortion theoretical framework that justifies a compromise in rate for extended semantic distortion. Extensive experimental results underscore the superiority of the proposed CS-ASIC concerning the signal-semantic rate-distortion tradeoff, and its lower encoding complexity over existing codecs in an AIoT simulation environment.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5464-5476"},"PeriodicalIF":8.6,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657402","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
Decentralized Tracking Control of Large-Scale Time-Delay Nonlinear Systems and Application to Chemical Reactor System 大时滞非线性系统的分散跟踪控制及其在化工反应器系统中的应用
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-06 DOI: 10.1109/TSMC.2025.3573069
Zhen-Guo Liu;Zi-Wen Jiang;Wei Sun;Shun-Feng Su
{"title":"Decentralized Tracking Control of Large-Scale Time-Delay Nonlinear Systems and Application to Chemical Reactor System","authors":"Zhen-Guo Liu;Zi-Wen Jiang;Wei Sun;Shun-Feng Su","doi":"10.1109/TSMC.2025.3573069","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3573069","url":null,"abstract":"This article discusses the decentralized tracking control problem of large-scale nonlinear systems characterized by unknown disturbances, time-varying delays, and polynomial growth conditions. To tackle the problem, a novel robust decentralized tracking method is developed. First, scaling gain transformations are introduced to obtain a transformed system. Subsequently, some stable decentralized controllers are skillfully constructed for an auxiliary system utilizing a recursive control design approach. By presenting a new domination control method together with the utilization of Lyapunov-Krasovskii (L-K) functional, the decentralized tracking controllers are designed and the system stability is guaranteed. Finally, the chemical reactor system model is employed to validate the feasibility of the strategy.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5553-5564"},"PeriodicalIF":8.6,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657412","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
Local Projection and Global Tracking-Based Decentralized Optimization: Take Local Energy Trading as an Example 基于局部投影和全局跟踪的分散优化:以局部能源交易为例
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-06 DOI: 10.1109/TSMC.2025.3572363
Chenggang Mu;Tao Ding;Xinyue Chang;Shanying Zhu;Yixun Xue;Zhuopu Han;Mohammad Shahidehpour
{"title":"Local Projection and Global Tracking-Based Decentralized Optimization: Take Local Energy Trading as an Example","authors":"Chenggang Mu;Tao Ding;Xinyue Chang;Shanying Zhu;Yixun Xue;Zhuopu Han;Mohammad Shahidehpour","doi":"10.1109/TSMC.2025.3572363","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3572363","url":null,"abstract":"Optimization problems arise in various domains, ranging from power systems to resource allocation and large network management. An effective solution to these problems in a distributed manner has become a crucial research area due to the increasing scale and complexity of modern systems. In this article, we propose a novel local projection global tracking (LPGT) decentralized algorithm based on the Alternating Direction Method of Multipliers for general optimization problems. Unlike existing distributed methods that require problem-specific adaptations or centralized coordination, LPGT provides tailored solutions for handling generic local equality and inequality constraints, as well as global coupled equality and inequality constraints. Moreover, a projection-based analytical scheme is designed to handle generic local equality and inequality constraints without iterative subproblem solvers, and a fully decentralized deviation tracking mechanism is constructed to enforce both global coupled equalities and inequalities constraints via agent communications, eliminating the need for a central coordinator. Case studies for a local energy trading model are proposed to verify the feasibility and applicability of the algorithm.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5503-5519"},"PeriodicalIF":8.6,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657435","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
Real-Time Data-Driven Hybrid Synchronization for Integrated Planning, Scheduling, and Execution Toward Industry 5.0 Human-Centric Manufacturing 面向工业5.0以人为中心制造的集成计划、调度和执行的实时数据驱动混合同步
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-06-06 DOI: 10.1109/TSMC.2025.3572389
Mingxing Li;Shiquan Ling;Ting Qu;Shan Lu;Ming Li;Daqiang Guo;Zhen He;George Q. Huang
{"title":"Real-Time Data-Driven Hybrid Synchronization for Integrated Planning, Scheduling, and Execution Toward Industry 5.0 Human-Centric Manufacturing","authors":"Mingxing Li;Shiquan Ling;Ting Qu;Shan Lu;Ming Li;Daqiang Guo;Zhen He;George Q. Huang","doi":"10.1109/TSMC.2025.3572389","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3572389","url":null,"abstract":"Flexible and reconfigurable manufacturing systems with independent multiskilled cells are pivotal for mass customization under volatile demand, yet internal/external uncertainties persistently disrupt planning, scheduling, and execution (PSE), causing idle time and workflow instability. This study proposes a hybrid synchronization framework with hierarchical real-time data feedback to address heterogeneous demand-capacity synchronization (HDCS), reconciling demand volatility, system reconfigurability, and dynamic human capacity. The framework first adopts the ticket-enabled queuing mechanism of the graduation intelligent manufacturing system (GiMS) to enable seamless PSE integration, ensuring resilient operations. Next, it hybridizes a global optimization model with local adjustment mechanisms, utilizing multigranularity data to balance global optimality and local practicality under uncertainty. Finally, it implements a human-cyber-physical digitalization architecture to establish smart human-machine collaborative assembly. Validated through a case study, the method enhances cost-efficiency by 1.7%, punctuality by 29.5%, and resource utilization by 3.9% compared to conventional rescheduling strategies, demonstrating superior adaptability to uncertainties. The results validate its effectiveness in advancing human-centric smart manufacturing aligned with Industry 5.0 objectives, offering an integrated solution to HDCS challenges through synergistic coordination of hierarchical control, hybrid optimization, and human-machine collaboration.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5670-5681"},"PeriodicalIF":8.6,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657409","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
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