IEEE Transactions on Cybernetics最新文献_第9页

Learning to Transfer for Evolutionary Multitasking 学习迁移进化多任务处理

IF 9.4 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-29 DOI: 10.1109/TCYB.2025.3561518

Sheng-Hao Wu;Yuxiao Huang;Xingyu Wu;Liang Feng;Zhi-Hui Zhan;Kay Chen Tan

{"title":"Learning to Transfer for Evolutionary Multitasking","authors":"Sheng-Hao Wu;Yuxiao Huang;Xingyu Wu;Liang Feng;Zhi-Hui Zhan;Kay Chen Tan","doi":"10.1109/TCYB.2025.3561518","DOIUrl":"10.1109/TCYB.2025.3561518","url":null,"abstract":"Evolutionary multitasking (EMT) is an emerging approach for solving multitask optimization problems (MTOPs) and has garnered considerable research interest. The implicit EMT is a significant research branch that utilizes evolution operators to enable knowledge transfer (KT) between tasks. However, current approaches in implicit EMT face challenges in adaptability, due to the limited use of different evolution operators with different parameter settings and insufficient utilization of evolutionary states for performing KT. This results in suboptimal exploitation of implicit KT’s potential to tackle a variety of MTOPs. To overcome these limitations, we propose a novel learning-to-transfer (L2T) framework to automatically discover efficient KT policies for the MTOPs at hand. Our framework conceptualizes the KT process as a learning agent’s sequence of strategic decisions within the EMT process. We propose an action formulation for deciding when and how to transfer, a state representation with informative features of evolution states, a reward formulation concerning convergence and transfer efficiency gain, and the environment for the agent to interact with MTOPs. We employ an actor-critic network structure for the agent and learn the policy via proximal policy optimization. This learned agent can be integrated with various evolutionary algorithms, enhancing their ability to address unseen MTOPs. Comprehensive empirical studies on both synthetic and real-world MTOPs, encompassing diverse intertask relationships, function classes, and task distributions are conducted to validate the proposed L2T framework. The results show a marked improvement in the adaptability and performance of implicit EMT when solving a wide spectrum of unseen MTOPs.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"55 7","pages":"3342-3355"},"PeriodicalIF":9.4,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143889971","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

Distributed Optimal Consensus Problem of Input Constrained Nonlinear Discrete-Time MASs: A Mode-Free Reinforcement Learning Approach 输入约束非线性离散质量的分布式最优一致性问题：一种无模强化学习方法

IF 9.4 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-29 DOI: 10.1109/TCYB.2025.3562390

Shuxing Xuan;Hongjing Liang;Shihao Huang;Tieshan Li;Jiayue Sun

{"title":"Distributed Optimal Consensus Problem of Input Constrained Nonlinear Discrete-Time MASs: A Mode-Free Reinforcement Learning Approach","authors":"Shuxing Xuan;Hongjing Liang;Shihao Huang;Tieshan Li;Jiayue Sun","doi":"10.1109/TCYB.2025.3562390","DOIUrl":"10.1109/TCYB.2025.3562390","url":null,"abstract":"In this article, a model-free reinforcement learning (RL) approach is proposed for solving the optimal consensus control issue of nonlinear discrete-time multiagent systems with input constraint. To address the challenge of solving the coupled discrete Hamilton-Jacobi–Bellman (HJB) equation, a RL approach based on actor-critic framework is proposed for optimal consensus control. A well-defined cost function is designed, and the actor and critic networks are updated through online learning to obtain the optimal controllers. Furthermore, the actuator’s performance is often limited due to physical constraints. To address such actuator constraints, a gradual transition control (GTC) method is proposed, and update-free and update-weak policies are introduced to further optimize network performance. Additionally, in real-world distributed systems, the actor-critic networks deployed in each agent rely on data from neighboring agents, which necessitates addressing the issue of distributed synchronization. To address this challenge, the synchronization blocking method is designed, which designs additional control signals for each agent to handle these issues. Finally, two simulations under different scenarios are presented to verify the effectiveness of the proposed approach.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"55 6","pages":"2910-2923"},"PeriodicalIF":9.4,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143889970","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

Multicontroller-Based Fault-Tolerant Control for Uncertain High-Order Sub-Fully Actuated Systems 基于多控制器的不确定高阶次完全驱动系统容错控制

IF 9.4 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-28 DOI: 10.1109/TCYB.2025.3560406

Mengtong Gong;Donghua Zhou;Li Sheng;Xiao He

{"title":"Multicontroller-Based Fault-Tolerant Control for Uncertain High-Order Sub-Fully Actuated Systems","authors":"Mengtong Gong;Donghua Zhou;Li Sheng;Xiao He","doi":"10.1109/TCYB.2025.3560406","DOIUrl":"10.1109/TCYB.2025.3560406","url":null,"abstract":"This article proposes a novel multicontroller-based fault tolerance method to cope with a class of high-order sub-fully actuated systems (sub-FASs) with nonlinear uncertainties and actuator faults. As a promising control-oriented theory, the FAS approach is a convenient and powerful tool for nonlinear control. However, the stabilization of sub-FASs, whose input matrix function is not globally invertible, is more sophisticated and challenging due to the issue of control singularity. To address the global fault-tolerant stabilization of uncertain sub-FASs, a high-order nonlinear system model with both multiplicative and additive actuator faults is considered. By introducing the concepts of linear singular set and singularity function, the entire state space is analytically divided into several regions. Then, according to the initial states of system, three different control strategies are developed to overcome singularity and achieve global stabilization, including a FAS-based stabilizing control law, a singularity-avoid tracking control strategy, as well as a singularity-free switching control strategy. The closed-loop response of the faulty system is proven to be ultimately uniformly bounded in all cases, and the effectiveness of proposed method is illustrated through a numerical example.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"55 7","pages":"3525-3536"},"PeriodicalIF":9.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884575","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

Spectral-Adaptive Consensus Algorithm for Robust Fault Mitigation in Decentralized Smart Manufacturing Networks 分布式智能制造网络鲁棒故障缓解的频谱自适应一致性算法

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-28 DOI: 10.1109/tcyb.2025.3561585

Yang Lu, Shuai Zhao, Yuting Zang, Ziyi Bian, Yan Zheng

引用次数: 0

Adaptive Fault Tolerant Consensus Tracking Control for Flexible Manipulators MASs With Input Quantization and Time-Varying Delay 具有输入量化和时变延迟的柔性机械臂质量自适应容错一致跟踪控制

IF 9.4 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-28 DOI: 10.1109/TCYB.2025.3560891

Wei Zhao;Xing Li;Yu Liu;Zhijun Li

引用次数: 0

Normal Forms of Linear Time-Varying Systems With Applications to Output-Feedback Stabilization and Tracking 线性时变系统的范式及其在输出反馈镇定与跟踪中的应用

IF 9.4 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-28 DOI: 10.1109/TCYB.2025.3547895

Bin Zhou;Jiacheng Dong;Guangbin Cai

引用次数: 0

Fixed-Time Resilient Distributed NE Seeking Control for Nonlinear MASs Against DoS Attacks 针对DoS攻击的非线性质量固定时间弹性分布式网元寻优控制

IF 9.4 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-28 DOI: 10.1109/TCYB.2025.3561161

Shihan Zhou;Chao Deng;Sha Fan;Bohui Wang

{"title":"Fixed-Time Resilient Distributed NE Seeking Control for Nonlinear MASs Against DoS Attacks","authors":"Shihan Zhou;Chao Deng;Sha Fan;Bohui Wang","doi":"10.1109/TCYB.2025.3561161","DOIUrl":"10.1109/TCYB.2025.3561161","url":null,"abstract":"In this article, the fixed-time resilient distributed Nash equilibrium (NE) control problem is addressed for nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks. Unlike existing results on NE seeking in noncooperative games, this article first investigates the layered fixed-time resilient distributed NE control problem for nonlinear MASs against DoS attacks, independent of initial conditions. To address these challenges, the novel layered NE control strategy is proposed, comprising a resilient fixed-time distributed NE seeking algorithm layer, an improved fixed-time performance enhancement layer, and an adaptive controller design layer. Specifically, a fixed-time resilient distributed NE seeking algorithm is first designed to guarantee players actions to converge toward the NE against DoS attacks. Then, novel high-order fixed-time filters are proposed to generate improved actions with smooth characteristics and converge to the actions in the aforementioned fixed-time algorithm. Based on the developed filters, a decentralized fuzzy adaptive controller is developed to achieve bounded tracking within the fixed time using the backstepping technique. Finally, a numerical simulation is conducted to validate the efficacy of the developed method.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"55 7","pages":"3368-3378"},"PeriodicalIF":9.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884571","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 Model-Free Adaptive Formation Constrained Control for Nonlinear Heterogeneous Multiagent Systems 非线性异构多智能体系统事件触发无模型自适应编队约束控制

IF 9.4 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-25 DOI: 10.1109/TCYB.2025.3557383

Weiming Zhang;Dezhi Xu;Yujian Ye;Wei Hua;Bin Jiang

{"title":"Event-Triggered Model-Free Adaptive Formation Constrained Control for Nonlinear Heterogeneous Multiagent Systems","authors":"Weiming Zhang;Dezhi Xu;Yujian Ye;Wei Hua;Bin Jiang","doi":"10.1109/TCYB.2025.3557383","DOIUrl":"10.1109/TCYB.2025.3557383","url":null,"abstract":"This article aims to address the formation control issue of the unknown nonaffine nonlinear heterogeneous multiagent system (MAS) considering formation tracking accuracy and computational cost. A novel dynamic prescribed boundary-based event-triggered mechanism is proposed first to flexibly adjust the emphasis on these two indicators, and applied to data modeling and controller design simultaneously to reduce their computational cost. On one hand, an observer-based pseudo gradient estimation algorithm is designed under event-triggered framework for model reconfiguration with only input/output data of system rather than mathematical dynamics. On the other hand, an event-triggered constrained control strategy is developed with several modules to cope with complex scenarios. Concretely, a data-driven anti-windup compensator is designed in case of input constraint, and an improved prescribed performance-based fractional order terminal sliding mode controller is explored for enhancement of the formation tracking accuracy and robustness of the controlled MAS with rigorous stability analysis. Both numerical simulation and hard-in-the-loop experiment on distributed energy storage systems are performed to attest the efficacy of the proposed formation control strategy.","PeriodicalId":13112,"journal":{"name":"IEEE Transactions on Cybernetics","volume":"55 6","pages":"2806-2819"},"PeriodicalIF":9.4,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876033","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

An Enhanced Detection Scheme and Distributed Resilient Asynchronous Event-Triggered Control of AC Microgrids Subject to Replay Attacks 受重播攻击影响的交流微电网的增强型检测方案和分布式弹性异步事件触发控制

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-25 DOI: 10.1109/tcyb.2025.3559379

Masoud Zare Shahabadi, Hajar Atrianfar, Hossein A. Abyaneh

引用次数: 0

IKT-BT: Indirect Knowledge Transfer Behavior Tree Framework for Multirobot Systems Through Communication Eavesdropping 基于通信窃听的多机器人系统间接知识转移行为树框架

IF 9.4 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2025-04-25 DOI: 10.1109/TCYB.2025.3560564

Sanjay Sarma Oruganti Venkata;Ramviyas Parasuraman;Ramana Pidaparti

引用次数: 0