{"title":"Equilibria Computation of the Weakest-Link Discrete Colonel Blotto Games","authors":"Adrianto Ravi Ibrahim;Yurid E. Nugraha","doi":"10.1109/LCSYS.2025.3565611","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3565611","url":null,"abstract":"A class of Colonel Blotto Games between two agents over multiple locations are discussed. In this letter, we consider the scenario where one of the agents wins whenever she allocates more resources in all locations. We derive a theoretical result showing that mixed Nash equilibria in such games could be computed in polynomial time.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"132-137"},"PeriodicalIF":2.4,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Periodic Convergence for a Class of Nonlinear Time-Delay Systems","authors":"A. Aleksandrov;D. Efimov;X. Ping","doi":"10.1109/LCSYS.2025.3564586","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3564586","url":null,"abstract":"The new existence conditions for periodic steady-state solution in time-delay convergent systems are presented. The main advantage of this result is that highly nonlinear (without meaningful linear approximation) dynamics are allowed for analysis. These conditions are developed for Persidskii and Lotka-Volterra time-delay systems. The efficiency of the approach is demonstrated on academic examples of these models.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"96-101"},"PeriodicalIF":2.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Event-Based Output Feedback Stabilization Using Sliding Mode Technique","authors":"Saikat Mondal;Kiran Kumari","doi":"10.1109/LCSYS.2025.3564891","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3564891","url":null,"abstract":"In this letter, an event-triggered output feedback sliding mode controller is designed to investigate the behavior of the perturbed linear time-invariant system (LTI). The controller is designed here based on the estimated states, which are obtained by employing the event-triggered sliding mode estimation technique. In this letter, since the event-triggering mechanism decides the instant of (system) output transmission, we show that under the application of the proposed control strategy, the sliding trajectory converges to any desired bound in a finite time. This ensures the convergence of the system trajectory to any desired bound. Moreover, it is shown that the proposed controller guarantees the boundedness of the system trajectory within some predefined bound at transients also, which is essential for different practical applications such as robotics, power systems, etc. We also attempt to reduce the magnitude of the control input by establishing the separation principle along with a switching technique for designing the discontinuous controller gain without affecting the convergence of the sliding variable to its ultimate bound. This reduction in the discontinuous controller gain decreases the control effort, leading to an increase in the inter-event time. Moreover, it also helps reduce the amplitude of chattering. Finally, a practical example is simulated to demonstrate the effectiveness of the proposed controller design.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"102-107"},"PeriodicalIF":2.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Event-Triggered Control of Delayed Linear Systems Using Linear Programming","authors":"Huu Sau Nguyen","doi":"10.1109/LCSYS.2025.3564570","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3564570","url":null,"abstract":"This letter presents a novel coordinate-wise event-triggered control mechanism for stabilizing and ensuring positivity of continuous-time linear systems with time delay. By explicitly comparing each state coordinate against individual thresholds, we achieve a more accurate determination of when the event-triggered condition is violated. This approach ensures positivity, since each coordinate is treated independently within the triggering condition, and effectively handles the destabilizing influence of delay. We formulate the stability and positivity criteria as solvable linear programming constraints. Additionally, we prove that the proposed mechanism excludes Zeno behavior by guaranteeing a positive lower bound on inter-event times. Numerical examples illustrate that our method balances system performance and reduced triggering frequency far more effectively than time-triggered strategies.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"114-119"},"PeriodicalIF":2.4,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abhinav G. Kamath;Purnanand Elango;Behçet Açıkmeşe
{"title":"Optimal Preconditioning for Online Quadratic Cone Programming","authors":"Abhinav G. Kamath;Purnanand Elango;Behçet Açıkmeşe","doi":"10.1109/LCSYS.2025.3563219","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3563219","url":null,"abstract":"First-order conic optimization solvers are sensitive to problem conditioning and typically perform poorly in the face of ill-conditioned problem data. To mitigate this, we propose an approach to preconditioning—the hypersphere preconditioner—for a class of quadratic cone programs (QCPs), i.e., conic optimization problems with a quadratic objective function, wherein the objective function is strongly convex and possesses a certain structure. This approach lends itself to factorization-free, customizable, first-order conic optimization for online applications wherein the solver is called repeatedly to solve problems of the same size/structure, but with changing problem data. We demonstrate the efficacy of our approach on numerical convex and nonconvex trajectory optimization examples, using a first-order conic optimizer under the hood.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"108-113"},"PeriodicalIF":2.4,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scott Brown;Mohammad Khajenejad;Aamodh Suresh;Sonia Martínez
{"title":"Robust Output-Feedback MPC for Nonlinear Systems With Applications to Robotic Exploration","authors":"Scott Brown;Mohammad Khajenejad;Aamodh Suresh;Sonia Martínez","doi":"10.1109/LCSYS.2025.3560531","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3560531","url":null,"abstract":"This letter introduces a novel method for robust output-feedback model predictive control (MPC) for a class of nonlinear discrete-time systems. We propose a novel interval-valued predictor which, given an initial estimate of the state, produces intervals which are guaranteed to contain the future trajectory of the system. By parameterizing the control input with an initial stabilizing feedback term, we are able to reduce the width of the predicted state intervals compared to existing methods. We demonstrate this through a numerical comparison where we show that our controller performs better in the presence of large amounts of noise. Finally, we present a simulation study of a robot navigation scenario, where we incorporate a time-varying entropy term into the cost function in order to autonomously explore an uncertain area.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"90-95"},"PeriodicalIF":2.4,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust Fuel Optimal Trajectory Planning and Feedback Control for Constrained Linear Systems Under State- and Control-Dependent Perturbations","authors":"Oliver Sheridan;Behçet Açıkmeşe","doi":"10.1109/LCSYS.2025.3558533","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3558533","url":null,"abstract":"We consider the problem of simultaneous open-loop trajectory design and feedback gain co-design to develop an algorithm for robustly-constrained trajectory optimization for linear time-varying systems with state- and control-dependent perturbations. This extends our previous work (Sheridan and Açıkmeşe, 2022; 2023) to handle optimization of feedback gains to minimize the effect of external perturbations. This could have applications in, e.g., vehicle design, by allowing trajectory optimization techniques to be fed back into the vehicle design phase, informing guidance, navigation, and control system requirements. We also present a numerical simulation demonstrating the practicality of our methods.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"68-73"},"PeriodicalIF":2.4,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Finite-Region Fuzzy Control for Nonlinear 2-D Systems With Input Constraints","authors":"Feng Li;Zhenghao Ni;Lei Su;Hao Shen","doi":"10.1109/LCSYS.2025.3557920","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3557920","url":null,"abstract":"This letter considers the finite-region fuzzy control issue of 2-D Roesser systems subject to input constraints, in which the transient information of the plant states is paid more attention. This means that the plant states are required not to exceed a given threshold within a finite-region area. Therefore, the focus of this letter is no longer on the asymptotic behavior of the systems states over an infinite region, but on satisfying the boundedness of the systems states within a finite-region region. A set of sufficient conditions are derived for the finite-region boundedness and <inline-formula> <tex-math>$H_{infty }$ </tex-math></inline-formula> performance of the control plant subject to input constraints. Subsequently, a finite-region controller is devised based on these criteria, and the effectiveness is validated by an illustrative example.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"56-61"},"PeriodicalIF":2.4,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging Design Frameworks and Contemporary Applications","authors":"Quanyan Zhu;Tamer Başar","doi":"10.1109/LCSYS.2025.3557366","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3557366","url":null,"abstract":"Socio-technical networks represent emerging cyber-physical infrastructures that are tightly interwoven with human networks. The coupling between human and technical networks presents significant challenges in managing, controlling, and securing these complex, interdependent systems. This letter investigates game-theoretic frameworks for the design and control of socio-technical networks, with a focus on critical applications such as misinformation management, infrastructure optimization, and resilience in socio-cyber-physical systems (SCPS). Core methodologies, including Stackelberg games, mechanism design, and dynamic game theory, are examined as powerful tools for modeling interactions in hierarchical, multi-agent environments. Key challenges addressed include mitigating human-driven vulnerabilities, managing large-scale system dynamics, and countering adversarial threats. By bridging individual agent behaviors with overarching system goals, this letter illustrates how the integration of game theory and control theory can lead to robust, resilient, and adaptive socio-technical networks. This letter highlights the potential of these frameworks to dynamically align decentralized agent actions with system-wide objectives of stability, security, and efficiency.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"74-89"},"PeriodicalIF":2.4,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Event-Triggering Security Control of T-S Fuzzy Model-Based Unmanned Marine Vehicles","authors":"Shanling Dong;Zhiyi Lai;Bo Wang;Zheng-Guang Wu;Meiqin Liu;Guanrong Chen","doi":"10.1109/LCSYS.2025.3554846","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3554846","url":null,"abstract":"This letter investigates the event-triggering security control problem of unmanned marine vehicles (UMVs) in the presence of actuator failures, cyber attacks and wave-included disturbances. The Takagi-Sugeno fuzzy model is employed to represent the nonlinear UMV system through the utilization of IF-THEN rules and membership functions. The dynamic event-triggering control law is devised due to the limited resources in the networked control environment, while avoiding the Zeno phenomenon. A sufficient condition is proposed to ensure the system stability and the solution to the controller gain is given as well. After theoretical analysis, simulation experiments are conducted to validate the efficacy of the proposed method.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"62-67"},"PeriodicalIF":2.4,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}