Systems & Control Letters最新文献_第5页

Global asymptotic local exponential stability of time-delay hybrid systems with logical dynamics 具有逻辑动力学的时滞混合系统全局渐近局部指数稳定性

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-11-28 DOI: 10.1016/j.sysconle.2025.106292

Qiyao Wang , Jitao Sun

引用次数: 0

Connectivity-aware coverage control with time-varying projection in non-convex environments 非凸环境下时变投影的连通性感知覆盖控制

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-11-25 DOI: 10.1016/j.sysconle.2025.106296

Ziqi Liu, Chao Zhai

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引用次数: 0

Pollution free eigenvalue bounds for the Gramian operator Gramian算子的无污染特征值界

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-12-11 DOI: 10.1016/j.sysconle.2025.106308

Luka Grubišic , Martin Lazar

引用次数: 0

Distributed model predictive consensus control for linear multiagent system with coupled state constraints 耦合状态约束线性多智能体系统的分布式模型预测一致性控制

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-12-27 DOI: 10.1016/j.sysconle.2025.106337

Hongru Wang, Jinzhi Wang

{"title":"Distributed model predictive consensus control for linear multiagent system with coupled state constraints","authors":"Hongru Wang, Jinzhi Wang","doi":"10.1016/j.sysconle.2025.106337","DOIUrl":"10.1016/j.sysconle.2025.106337","url":null,"abstract":"<div><div>This paper addresses the consensus control problem for general constrained linear multiagent systems (MAS) with inter-agent communication distance limitations. A novel distributed model predictive control (DMPC) algorithm is proposed that guarantees consensus while ensuring that neighboring agents remain in a predefined range, which is formulated as coupled state constraints in the control problem. Within a leader–follower framework, the cost function of the DMPC optimization problem is carefully designed to include the tracking error with respect to the leader, the consensus error among followers, and the control input effort. By using the optimal trajectories from the previous time step as pseudo-references and introducing individual constraints, the originally coupled state constraint is transformed into decoupled local constraints for each agent, enabling a fully distributed solution. Theoretical analysis based on Lyapunov stability establishes consensus convergence and the connectivity preservation between agents is proved. Finally, simulation results validate the effectiveness of the proposed approach.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"208 ","pages":"Article 106337"},"PeriodicalIF":2.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840079","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

On zero-sum game representation for replicator dynamics 复制因子动力学的零和博弈表征

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-12-22 DOI: 10.1016/j.sysconle.2025.106326

Haoyu Yin, Xudong Chen, Bruno Sinopoli

引用次数: 0

Adaptive boundary prescribed-performance MPC for 3-D UAV formation with obstacle/collision avoidance 具有避障/避碰的三维无人机编队自适应边界规定性能MPC

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-12-18 DOI: 10.1016/j.sysconle.2025.106327

Chengzhen Yu , Kairui Chen , C.L. Philip Chen , Zhi Liu , Jianhui Wang

引用次数: 0

Practical adaptive control of state constrained system via zone barrier Lyapunov function 基于区势垒Lyapunov函数的状态约束系统实用自适应控制

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-12-22 DOI: 10.1016/j.sysconle.2025.106333

Xiaoling Liang , Dan Bao , Shuzhi Sam Ge

{"title":"Practical adaptive control of state constrained system via zone barrier Lyapunov function","authors":"Xiaoling Liang , Dan Bao , Shuzhi Sam Ge","doi":"10.1016/j.sysconle.2025.106333","DOIUrl":"10.1016/j.sysconle.2025.106333","url":null,"abstract":"<div><div>This paper has investigated the stability proof, robustness design and applications on practical adaptive control for state constraints. Even though adaptive control and backstepping have been around for a while and are generally regarded as stable at this point, there is still a lot of work being done to improve them and apply them to new scenarios. The theoretical challenge of this topic lies in identifying methods to mitigate the effects of area adaptation dynamics, while the practical significance of this issue arises from the fact that constraints are ubiquitous in physical and technical systems. Motivated by the idea of zone barrier Lyapunov function, the control of strict feedback systems is studied along with full and partial states constraints scenarios wherein parametric uncertainties. In contrast to traditional Lyapunov functions, which are well-defined over the whole domain and radially unbounded for global stability, adaptive zone barrier Lyapunov function (zBLF) not only has the unique property of finite escape if the values of their arguments approach certain bounds, but also offers more freedom space for the states. For the presence of uncertainty in the nonlinear system, under specific feasibility criteria, a practical area is obtained regarding the scenario involving full-state constraints. The zone stability and robustness design guarantee non-violation of constraints via rigorous theory proof. Furthermore, it has been demonstrated that feasibility conditions for partial state constraints with linearly parameterized system nonlinearities exist and similar results of practical stability can be achieved with state satisfactions. Numerical simulations are conducted to validate the theoretical findings obtained.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"208 ","pages":"Article 106333"},"PeriodicalIF":2.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840078","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

Asymptotic stability equals exponential stability—while you twist your eyes 当你转动眼睛时，渐近稳定性等于指数稳定性

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-12-15 DOI: 10.1016/j.sysconle.2025.106324

Wouter Jongeneel

引用次数: 0

Finite-time stabilization for a chaos wave equation with disturbance 具有扰动的混沌波动方程的有限时间镇定

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-12-29 DOI: 10.1016/j.sysconle.2025.106336

Meng-Yuan Lou, Hua-Cheng Zhou

引用次数: 0

Smooth surveillance using quadrotors for tasks with nonconvex utility functions 平滑监视使用四旋翼的任务与非凸效用函数

IF 2.5 3区计算机科学

Systems & Control Letters Pub Date : 2026-01-01 Epub Date: 2025-11-26 DOI: 10.1016/j.sysconle.2025.106281

He Hao , Daniel Silvestre , Carlos Silvestre

{"title":"Smooth surveillance using quadrotors for tasks with nonconvex utility functions","authors":"He Hao , Daniel Silvestre , Carlos Silvestre","doi":"10.1016/j.sysconle.2025.106281","DOIUrl":"10.1016/j.sysconle.2025.106281","url":null,"abstract":"<div><div>In this paper, we target the problem of having a quadrotor navigate in an area for surveillance where the relative importance is an unknown nonconvex function with multiple local optima. Typical techniques often split the task into a planning phase for the trajectory and a control part to track that reference following the calculated waypoints. A problem arising from any planning strategy is that it requires knowledge of the nonconvex utility function which is not assumed in this setup. We propose a technique where a hybrid system designs the trajectory that is passed as the reference of a backstepping nonlinear controller or a differential flatness-based control law. For handling multiple optima, the system integrates a three-state automaton that supports ascent phases, spiral coverage, and random restarts to prevent revisits and facilitate comprehensive exploration. Numerical simulations show that our approach matches Model Predictive Control (MPC) strategies if the function was assumed to be known, yet requiring much less computation and enabling real-time full inspection of large maps without prior utility knowledge.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"207 ","pages":"Article 106281"},"PeriodicalIF":2.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617996","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