IEEE Transactions on Control of Network Systems最新文献_第3页

Stabilization of Networked Periodic and Almost-Periodic Piecewise Linear Systems Under Hybrid Packet Dropouts 混合丢包情况下网络周期与近周期分段线性系统的镇定

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-08 DOI: 10.1109/TCNS.2026.3691478

Liheng Wan;Panshuo Li;James Lam

{"title":"Stabilization of Networked Periodic and Almost-Periodic Piecewise Linear Systems Under Hybrid Packet Dropouts","authors":"Liheng Wan;Panshuo Li;James Lam","doi":"10.1109/TCNS.2026.3691478","DOIUrl":"https://doi.org/10.1109/TCNS.2026.3691478","url":null,"abstract":"Stabilization under hybrid packet dropouts induced by the network and DoS attacks is a challenging problem for switched systems. In this article, the stabilization under hybrid packet dropouts is studied for networked periodic piecewise linear systems, a type of switched systems of which subsystems are switched cyclically with fixed dwell times. First an intensity-stealthiness balanced attack scheme is proposed, which regulates the attack rate according to the rate of network-induced packet dropouts. The resulting hybrid packet dropouts are characterized by a new stochastic model, where the constraint on the attack duration is relaxed in comparison with the previous works. Then, considering hybrid packet dropouts, stabilization of networked periodic piecewise linear systems with nonstabilizable subsystems is studied. A sufficient condition of exponential mean-square stabilization is proposed, and the controller can be designed directly by solving linear matrix inequalities. Moreover, the stabilization method is developed for networked almost-periodic piecewise linear systems with time-varying dwell times, which would be more practical in applications, by constructing a Lyapunov function based on the bounds of dwell times. Finally, numerical examples are employed to illustrate the effectiveness of our results.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 3","pages":"1373-1384"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148985900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Encryption-Based Watermarking Protection Control Scheme for Cyber-Physical System 一种基于加密的网络物理系统水印保护控制方案

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-12 DOI: 10.1109/TCNS.2026.3692450

Qi He;Xiao-Jian Li

引用次数: 0

Prescribed-Time Coverage Control for Bidirectional and Unidirectional Mobile Sensor Networks on a Closed Curve 封闭曲线上双向和单向移动传感器网络的规定时间覆盖控制

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-08 DOI: 10.1109/TCNS.2026.3691587

Yongqin He;Cheng Song;Mingyang Xie;Shengyuan Xu

引用次数: 0

An Optimization-Based Hierarchical Framework for Affine Formation Control of Nonholonomic Mobile Robots 基于优化的非完整移动机器人仿射编队控制层次框架

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-08 DOI: 10.1109/TCNS.2026.3691489

Jiayi Shao;Hao Yu;Dawei Shi;Junzheng Wang

{"title":"An Optimization-Based Hierarchical Framework for Affine Formation Control of Nonholonomic Mobile Robots","authors":"Jiayi Shao;Hao Yu;Dawei Shi;Junzheng Wang","doi":"10.1109/TCNS.2026.3691489","DOIUrl":"https://doi.org/10.1109/TCNS.2026.3691489","url":null,"abstract":"This article proposes a hierarchical framework for achieving the affine formation of multiple nonholonomic mobile robots in undirected graphs with moving leaders. The proposed framework consists of three layers, each serving a specific function: First, through the communication between robots, a distributed optimization-based algorithm is applied in the top layer to generate the affine formation position-velocity trajectories for the followers. Then, the middle layer reconstructs the aforementioned trajectories into equivalent reference linear-velocity and angular-velocity signals in virtual nonholonomic mobile robots. Meanwhile, to address inaccessibility of angular velocity signals in reference nonholonomic mobile robots, a linear extended state observer is designed to provide bounded estimation. Finally, based on the reference nonholonomic mobile robots, a tracking algorithm is employed in the bottom layer to enable the follower robots to track the desired position in affine formation, along with a robustness analysis of tracking performance concerning reconstruction errors in reference nonholonomic mobile robots. The effectiveness of the proposed framework are verified by simulation results.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 3","pages":"1399-1411"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148985908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Distributed Approach for the Nonconvex Resource Allocation Problem Over Unbalanced Directed Networks 非平衡有向网络上非凸资源分配问题的一种分布式方法

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-08 DOI: 10.1109/TCNS.2026.3691602

Xiasheng Shi;Yanxu Su;Darong Huang;Changyin Sun

引用次数: 0

Adaptive Prescribed-Time Cooperative Guidance With Actuator Efficiency Loss 考虑执行器效率损失的自适应规定时间协同制导

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-21 DOI: 10.1109/TCNS.2026.3695556

Rujia Chen;Haibin Duan

引用次数: 0

Consensus of Discrete-Time Linear Multiagent Systems: A Server-Assisted Approach 离散时间线性多智能体系统的一致性：一种服务器辅助方法

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-21 DOI: 10.1109/TCNS.2026.3695557

Hao Su;Rongrong Qian;Yuan Qi;Zhihao Xue;Hao Xu

引用次数: 0

Structured Cooperative Multiagent Reinforcement Learning Control: A Bayesian Network Perspective 结构化合作多智能体强化学习控制：贝叶斯网络视角

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-07 DOI: 10.1109/TCNS.2026.3691269

Shahbaz P Qadri Syed;He Bai

{"title":"Structured Cooperative Multiagent Reinforcement Learning Control: A Bayesian Network Perspective","authors":"Shahbaz P Qadri Syed;He Bai","doi":"10.1109/TCNS.2026.3691269","DOIUrl":"https://doi.org/10.1109/TCNS.2026.3691269","url":null,"abstract":"We propose a systematic approach to leverage structures in interagent couplings for efficient model-free cooperative multiagent reinforcement learning (MARL). We model the cooperative MARL problem via a Bayesian network and characterize the subset of agents, termed as the <italic>value dependence set</i>, whose information is required by each agent to estimate its local action value function exactly. Moreover, we propose a <italic>partially decentralized training and decentralized execution</i> (P-DTDE) paradigm based on the value dependence set, and establish that the total variance of the P-DTDE policy gradient estimator is less than the centralized training decentralized execution (CTDE) policy gradient estimator.We derive a cooperative multiagent policy gradient theorem based on the P-DTDE scheme and develop a scalable actor–critic algorithm. We demonstrate the efficiency and scalability of the proposed algorithm on multiwarehouse resource allocation and multizone temperature control examples. For dense value dependence sets, we propose an approximation scheme based on truncation of the Bayesian network and empirically show that it achieves a faster convergence than the exact value dependence set for applications with a large number of agents.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 3","pages":"1308-1320"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148985730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Observer-Based Optimal Time-Varying Formation Control for Uncertain Nonlinear Multiagent Systems 基于事件触发观测器的不确定非线性多智能体系统最优时变群体控制

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-07-06 DOI: 10.1109/TCNS.2026.3710313

Fuyong Wang;Jinxuan Zhang;Xinyi Wei;Zhongxin Liu

{"title":"Event-Triggered Observer-Based Optimal Time-Varying Formation Control for Uncertain Nonlinear Multiagent Systems","authors":"Fuyong Wang;Jinxuan Zhang;Xinyi Wei;Zhongxin Liu","doi":"10.1109/TCNS.2026.3710313","DOIUrl":"https://doi.org/10.1109/TCNS.2026.3710313","url":null,"abstract":"This article proposes a novel distributed event-triggered observer-based optimal control framework for time-varying formation (TVF) tracking of uncertain nonlinear multiagent systems. To reduce communication demands and relax stringent requirements on network topology, a distributed event-triggered state observer is first developed, enabling each agent to intermittently estimate the state of the virtual leader. A key feature of the observer is the introduction of a dynamic triggering variable, which rigorously precludes Zeno behavior while ensuring the efficient use of communication resources. Building upon these estimated states, a distributed optimal TVF controller is then synthesized via reinforcement learning, where a critic–actor neural network architecture is employed to approximate the solution to the Hamilton–Jacobi–Bellman equation in the presence of system uncertainties and nonlinearities. Distinct from conventional event-triggered control methods that embed triggering logic within the controller, the proposed scheme innovatively shifts the event -triggering mechanism to the observer layer, thereby achieving a modular design that decouples communication efficiency from control performance. Finally, comprehensive simulation results are provided to validate the effectiveness, robustness, and practical feasibility of the proposed approach.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 3","pages":"1848-1860"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148985833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Cooperative Target Fencing Safety Control for Multiple Autonomous Aerial Vehicles via Nonlinear Model Predictive Control 基于非线性模型预测控制的多自主飞行器协同目标围栏安全控制

IF 5.3 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2026-09-01 Epub Date: 2026-03-29 DOI: 10.1109/TCNS.2026.3698374

Tinghan Jia;Huaicheng Yan;Kai Rao;Yunkai Lv;Youmin Zhang

{"title":"Cooperative Target Fencing Safety Control for Multiple Autonomous Aerial Vehicles via Nonlinear Model Predictive Control","authors":"Tinghan Jia;Huaicheng Yan;Kai Rao;Yunkai Lv;Youmin Zhang","doi":"10.1109/TCNS.2026.3698374","DOIUrl":"https://doi.org/10.1109/TCNS.2026.3698374","url":null,"abstract":"This article investigates the fencing-tracking control problem for multiple quadrotor autonomous aerial vehicles (AAVs) pursuing a moving target AAV in the presence of time-delays, external disturbances, and external obstacles. To achieve the fencing control for the target AAV with unknown velocity, an attractive-repulsive mechanism is designed based on the relative distances between the target and neighboring AAVs, confining the target within a rigid convex hull. The rigid formation synchronizes with the velocity of the target through the velocity observers, keeping the target enclosed. Subsequently, a nonlinear Lyapunov model predictive control based on the control barrier function (NLMPC-CBF) is developed to predict the running trajectory and maintain optimal safety-critical fencing-tracking control in the presence of obstacles. To guarantee the feasibility and stability of the NLMPC-CBF, the Lyapunov-based adaptive auxiliary controller is designed, and its stability is exploited to construct stability constraints. The NLMPC-CBF inherits features of the Lyapunov-based adaptive auxiliary controller and utilizes online optimization to improve cooperative control performance. The simulation results demonstrate a series of comparative experiments showing that the proposed NLMPC-CBF method significantly enhances the fencing-tracking control performance and enables the obstacle avoidance control.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"13 3","pages":"1704-1714"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148985866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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