IEEE Transactions on Control of Network Systems最新文献_第7页

Event-Based Optimal Containment Control for Constrained Multiagent Systems Using Integral Reinforcement Learning 基于积分强化学习的约束多智能体系统事件最优包容控制

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-12-03 DOI: 10.1109/TCNS.2024.3510353

Zijie Guo;Hongru Ren;Hongyi Li;Tingwen Huang

{"title":"Event-Based Optimal Containment Control for Constrained Multiagent Systems Using Integral Reinforcement Learning","authors":"Zijie Guo;Hongru Ren;Hongyi Li;Tingwen Huang","doi":"10.1109/TCNS.2024.3510353","DOIUrl":"https://doi.org/10.1109/TCNS.2024.3510353","url":null,"abstract":"An optimal event-driven containment control problem is studied for partially unknown nonlinear multiagent systems with input constraints and state constraints. Its novelty lies in the optimization of the performance index while ensuring constraints handling abilities on states and inputs. First, an improved discounted cost function is constructed, and the state and input constraint information are encoded into the cost function by barrier functions and nonquadratic utility functions, respectively. Then, the approximate distributed optimal containment control policy is derived by an integral reinforcement learning (IRL)-based adaptive critic design, where the IRL technique can overcome the limitation of known drift dynamics in previous results. In critic neural networks learning, the weight tuning law is presented by virtue of the concurrent learning technique, which relaxes the persistence of excitation conditions by storing appropriate historical data. In order to reduce the amount of information transmitted through the controller-to-actuator channel, a containment error-dependent dynamic event-triggered mechanism is defined. Theoretical results indicate that signals in closed-loop systems driven by event-triggered optimal controllers are uniformly ultimately bounded, and Zeno behavior is avoided. Finally, the effectiveness of the developed method is illustrated by a simulation example on multiple single-link robot manipulators.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"609-619"},"PeriodicalIF":4.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688098","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

Nussbaum-Based Distributed Containment Control for Nonlinear Multiagent Systems With Quantized Inputs 具有量化输入的非线性多智能体系统的nussbaum分布式包容控制

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-12-03 DOI: 10.1109/TCNS.2024.3510573

Yang Liu;Jiaming Zhang

{"title":"Nussbaum-Based Distributed Containment Control for Nonlinear Multiagent Systems With Quantized Inputs","authors":"Yang Liu;Jiaming Zhang","doi":"10.1109/TCNS.2024.3510573","DOIUrl":"https://doi.org/10.1109/TCNS.2024.3510573","url":null,"abstract":"This article explores the distributed containment control problem for uncertain nonlinear multiagent systems subject to external disturbances and input quantization, where the constant control gains and the upper bounds of the external disturbances are unknown. First, the reference generator is constructed for each follower agent to generate the virtual tracking signal, confining to the convex hull spanned by the leaders. Meanwhile, the unmeasurable state variable of each follower is estimated by adopting the <inline-formula><tex-math>$K$</tex-math></inline-formula>-filters based on the available output/input signals and known system function matrices. Then, a distributed adaptive output feedback controller with only one updating parameter is designed for each follower by introducing a logarithmic quantization to quantize the control inputs under the framework of prescribed performance control. The lack of a priori knowledge for the control gain and the quantization gain is counteracted effectively by employing the Nussbaum function method in the adaptive backstepping design process. It is proved that the outputs of followers can enter into the convex hull of multiple leaders and the relevant tracking errors satisfy the prescribed performance index. Finally, the validity of the proposed schemes is illustrated through simulation studies on robotic systems.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"1290-1299"},"PeriodicalIF":4.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331800","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

Output Regulation of Boolean Control Networks Under Probabilistic Outputs 概率输出条件下布尔控制网络的输出调节

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-12-02 DOI: 10.1109/TCNS.2024.3510578

Jie Zhong;Qinyao Pan;Die Xu;Bowen Li;Ning Li

引用次数: 0

Distributed Finite-Time Observer for Rapid Detection of Multiple Line Outages in Transmission Networks With Uncertain Parameters 分布有限时间观测器快速检测参数不确定输电网多线停电

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-12-02 DOI: 10.1109/TCNS.2024.3510364

Yu Chen;Zhi-Wei Liu;Guanghui Wen;Yan-Wu Wang

引用次数: 0

Opinion Dynamics for Utility Maximizing Agents: Exploring the Impact of the Resource Penalty 效用最大化主体的意见动态：探索资源惩罚的影响

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-12-02 DOI: 10.1109/TCNS.2024.3510590

Prashil Wankhede;Nirabhra Mandal;Sonia Martínez;Pavankumar Tallapragada

{"title":"Opinion Dynamics for Utility Maximizing Agents: Exploring the Impact of the Resource Penalty","authors":"Prashil Wankhede;Nirabhra Mandal;Sonia Martínez;Pavankumar Tallapragada","doi":"10.1109/TCNS.2024.3510590","DOIUrl":"https://doi.org/10.1109/TCNS.2024.3510590","url":null,"abstract":"We propose a continuous-time nonlinear model of opinion dynamics with utility-maximizing agents connected via a social influence network. A distinguishing feature of the proposed model is the inclusion of an opinion-dependent resource-penalty term in the utilities, which limits the agents from holding opinions of large magnitude. This model is applicable in scenarios where the opinions pertain to the usage of resources, such as money, time, computational resources, etc. Each agent myopically seeks to maximize its utility by revising its opinion in the gradient ascent direction of its utility function, thus leading to the proposed opinion dynamics. We show that for any arbitrary social influence network, opinions are ultimately bounded. For networks with <italic>weak antagonistic relations</i>, we show that there exists a globally exponentially stable equilibrium using contraction theory. We establish conditions for the existence of consensus equilibrium and analyze the relative dominance of the agents at consensus. We also conduct a game-theoretic analysis of the underlying opinion formation game, including on Nash equilibria and on prices of anarchy in terms of <italic>satisfaction ratios</i>. In addition, we also investigate the oscillatory behavior of opinions in a two-agent scenario. Finally, simulations illustrate our findings.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"5-17"},"PeriodicalIF":4.0,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143675669","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

Constraint-Projection-Based Actor–Critic Algorithm for Dynamic Distributed Economic Dispatch With Nonconvex Nonsmooth Cost 基于约束投影的非凸非光滑成本动态分布式经济调度算法

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-12-02 DOI: 10.1109/TCNS.2024.3510598

Jun Li;Huaqing Li;Dawen Xia;Tingwen Huang;Lifeng Zheng;Liang Ran;Lianghao Ji

{"title":"Constraint-Projection-Based Actor–Critic Algorithm for Dynamic Distributed Economic Dispatch With Nonconvex Nonsmooth Cost","authors":"Jun Li;Huaqing Li;Dawen Xia;Tingwen Huang;Lifeng Zheng;Liang Ran;Lianghao Ji","doi":"10.1109/TCNS.2024.3510598","DOIUrl":"https://doi.org/10.1109/TCNS.2024.3510598","url":null,"abstract":"Out of consideration for the dynamic demand of energy dispatching with local affine constraints and globally shared nonconvex nonsmooth hybrid cost arising from highly prevalent intermittent renewable energy sources, load effects, and multiple fuel resources, the constraint-projection-based actor–critic algorithm is investigated to solve the dynamic distributed economic dispatch problem in microgrids. To characterize the generation power against the fuel cost, we denote various fuel choices by segmented nonconvex costs. To help address the lack of prior knowledge of the system model, we propose a novel distributed actor–critic algorithm to find the feasible power. The algorithm combines the actor policy network with the multiplier splitting approach and projected gradient method, maps the action's policy distribution to a feasible power interval, and finally realizes real-time dispatching in continuous action space by approximating the evaluation function from the critic network. The convergence of the algorithm is theoretically analyzed. The effectiveness of the approach is verified by several simulations.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"1102-1114"},"PeriodicalIF":4.0,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667718","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

Certifying Stability and Performance of Uncertain Differential–Algebraic Systems: A Dissipativity Framework 不确定微分代数系统稳定性和性能的证明：一个耗散性框架

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-12-02 DOI: 10.1109/TCNS.2024.3510585

Emily Jensen;Neelay Junnarkar;Murat Arcak;Xiaofan Wu;Suat Gumussoy

引用次数: 0

Necessary and Sufficient Conditions for Finite-Time and Fixed-Time Bipartite Containment Control of Cooperative–Antagonistic Networks 合作-对抗网络有限时间和固定时间二部遏制控制的充分必要条件

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-11-11 DOI: 10.1109/TCNS.2024.3496653

Zhen-Hua Zhu;Huaiyu Wu;Han Wu;Zhi-Hong Guan;Xiujuan Zheng;Zhi-Wei Liu

{"title":"Necessary and Sufficient Conditions for Finite-Time and Fixed-Time Bipartite Containment Control of Cooperative–Antagonistic Networks","authors":"Zhen-Hua Zhu;Huaiyu Wu;Han Wu;Zhi-Hong Guan;Xiujuan Zheng;Zhi-Wei Liu","doi":"10.1109/TCNS.2024.3496653","DOIUrl":"https://doi.org/10.1109/TCNS.2024.3496653","url":null,"abstract":"This article addresses the problems of finite-time and fixed-time bipartite containment control for single-integrator cooperative-antagonistic networks with multiple leaders over arbitrary weakly connected signed digraphs. The leaders can be either stationary or evolving dynamically through interacting with other leaders in their neighborhood. Based on the nearest neighbor rule, a unified distributed nonlinear control scheme is proposed. With rigorous Lyapunov-based analysis, it is shown that under the proposed control scheme, all followers can converge toward the convex hull formed by each leader's trajectory and its symmetrical trajectory having the same amplitude but different sign in a finite time or fixed time if and only if the underlying weakly connected signed digraph contains at least one structurally balanced closed strong component. As a byproduct, necessary and sufficient criteria are established for single-integrator cooperative-antagonistic networks to achieve finite-time and fixed-time bipartite consensuses, interval bipartite consensus, and stability. The effectiveness of the presented control scheme is illustrated via simulations.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"571-583"},"PeriodicalIF":4.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688083","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

Pinning Control Strategy for Prescribed-Time Synchronization of Stochastic Complex Dynamical Networks 随机复杂动态网络规定时间同步的钉住控制策略

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-10-30 DOI: 10.1109/TCNS.2024.3488515

Xiaotong Liu;Ying Guo;Jin Li;Mingzhu Li

引用次数: 0

A New Framework on Controllability of the Second-Order Multiagent Systems Under Fixed and Switching Topologies 固定拓扑和切换拓扑下二阶多智能体系统可控性的新框架

IF 4 3区计算机科学

IEEE Transactions on Control of Network Systems Pub Date : 2024-10-30 DOI: 10.1109/TCNS.2024.3488562

Hao Long;Yuanchao Si

引用次数: 0