Pub Date : 2025-09-22DOI: 10.1109/TCNS.2025.3606301
{"title":"IEEE Control Systems Society Information","authors":"","doi":"10.1109/TCNS.2025.3606301","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3606301","url":null,"abstract":"","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"2460-2461"},"PeriodicalIF":5.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11175266","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-22DOI: 10.1109/TCNS.2025.3606271
{"title":"IEEE Control Systems Society Information","authors":"","doi":"10.1109/TCNS.2025.3606271","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3606271","url":null,"abstract":"","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"C2-C2"},"PeriodicalIF":5.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11175264","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-20DOI: 10.1109/TCNS.2025.3573219
{"title":"IEEE Control Systems Society Information","authors":"","doi":"10.1109/TCNS.2025.3573219","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3573219","url":null,"abstract":"","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"1828-1829"},"PeriodicalIF":4.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11045660","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-20DOI: 10.1109/TCNS.2025.3573218
{"title":"IEEE Control Systems Society Information","authors":"","doi":"10.1109/TCNS.2025.3573218","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3573218","url":null,"abstract":"","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"C2-C2"},"PeriodicalIF":4.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11045696","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-21DOI: 10.1109/TCNS.2025.3562655
Hamed Rezaee;Thomas Parisini;Marios M. Polycarpou
In most practical dynamic leader-following scenarios, the control input or dynamical model of the neighboring agents is not known to the followers. In such scenarios, asymptotic leader-following requires employing discontinuous robust mechanisms to cope with unknown parts of the neighbors' trajectories, leading to chattering in the followers' inputs. Few studies have already addressed asymptotic leader-following with continuous control inputs; however, they require the communication topology to be undirected, which is a restrictive assumption in leader-following. In this article, asymptotic dynamic leader-following in Euler–Lagrangian multiagent systems is addressed. We assume that the leader's control input is determined by the leader locally and is unknown to the followers. The contribution of this article is that whereas the unknown input and model of the neighboring agents are compensated by a robust mechanism in the followers' control strategy, the continuity in the followers' control inputs is guaranteed, and the interaction in the network is under directed topologies. Simulation results for a network of manipulator robots illustrate the performance of the proposed control strategy.
{"title":"Asymptotic Leader-Following With Continuous Control Inputs in Networked Euler–Lagrangian Systems: The Case of Directed Topologies","authors":"Hamed Rezaee;Thomas Parisini;Marios M. Polycarpou","doi":"10.1109/TCNS.2025.3562655","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3562655","url":null,"abstract":"In most practical dynamic leader-following scenarios, the control input or dynamical model of the neighboring agents is not known to the followers. In such scenarios, asymptotic leader-following requires employing discontinuous robust mechanisms to cope with unknown parts of the neighbors' trajectories, leading to chattering in the followers' inputs. Few studies have already addressed asymptotic leader-following with continuous control inputs; however, they require the communication topology to be undirected, which is a restrictive assumption in leader-following. In this article, asymptotic dynamic leader-following in Euler–Lagrangian multiagent systems is addressed. We assume that the leader's control input is determined by the leader locally and is unknown to the followers. The contribution of this article is that whereas the unknown input and model of the neighboring agents are compensated by a robust mechanism in the followers' control strategy, the continuity in the followers' control inputs is guaranteed, and the interaction in the network is under directed topologies. Simulation results for a network of manipulator robots illustrate the performance of the proposed control strategy.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"2278-2288"},"PeriodicalIF":5.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110250","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}
Pub Date : 2025-04-09DOI: 10.1109/TCNS.2025.3559197
Karthik Chikmagalur;Bassam Bamieh
In this article, we investigate parametric resonance in oscillator networks subjected to periodically time-varying oscillations in the edge strengths. Such models are inspired by the well-known parametric resonance phenomena for single oscillators, as well as the potential rich phenomenology when such parametric excitations are present in a variety of applications, such as deep brain stimulation, ac power transmission networks, as well as vehicular flocking formations. We consider cases where a single edge, a subgraph, or the entire network is subjected to forcing, and in each case, we characterize an interesting interplay between the parametric resonance modes and the eigenvalues/vectors of the graph Laplacian. Our analysis is based on a novel treatment of multiple-scale perturbation analysis that we develop for the underlying high-dimensional dynamic equations.
{"title":"Parametric Resonance in Networked Oscillators","authors":"Karthik Chikmagalur;Bassam Bamieh","doi":"10.1109/TCNS.2025.3559197","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3559197","url":null,"abstract":"In this article, we investigate parametric resonance in oscillator networks subjected to periodically time-varying oscillations in the edge strengths. Such models are inspired by the well-known parametric resonance phenomena for single oscillators, as well as the potential rich phenomenology when such parametric excitations are present in a variety of applications, such as deep brain stimulation, ac power transmission networks, as well as vehicular flocking formations. We consider cases where a single edge, a subgraph, or the entire network is subjected to forcing, and in each case, we characterize an interesting interplay between the parametric resonance modes and the eigenvalues/vectors of the graph Laplacian. Our analysis is based on a novel treatment of multiple-scale perturbation analysis that we develop for the underlying high-dimensional dynamic equations.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"2254-2265"},"PeriodicalIF":5.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110246","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}
Pub Date : 2025-04-09DOI: 10.1109/TCNS.2025.3559198
Xuhui Bu;Yan Zhang;Xuyang Ren;Zhongsheng Hou
In this article, the load frequency control problem of multimicrogrid interconnected systems with time delays is considered. For this problem, a data-driven load frequency control method is proposed via improved model free adaptive control. First, because of the nonlinearity and uncertainty of multimicrogrid interconnected systems, the relevant model information cannot be fully obtained. To realize the design of the algorithm under the assumption that the model information is unknown, the equivalent functional relationship between the control signal and the area-control-error signal is established by using a dynamic linearization technique. Then, a data-driven control algorithm with time delays is developed, in which a tracking differentiator is designed to obtain the derivative value of the system output signal for the improved model free adaptive structure. On this basis, to reduce the computation and communication burden of the multimicrogrid system, an event-triggered mechanism is proposed. The stability of the system is analyzed by using the Lyapunov stability theory. Finally, simulation results in a three-area multimicrogrid interconnected system verify the effectiveness of the proposed algorithm.
{"title":"Event-Triggered Data-Driven LFC of Multimicrogrid Interconnected Systems With Time Delays","authors":"Xuhui Bu;Yan Zhang;Xuyang Ren;Zhongsheng Hou","doi":"10.1109/TCNS.2025.3559198","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3559198","url":null,"abstract":"In this article, the load frequency control problem of multimicrogrid interconnected systems with time delays is considered. For this problem, a data-driven load frequency control method is proposed via improved model free adaptive control. First, because of the nonlinearity and uncertainty of multimicrogrid interconnected systems, the relevant model information cannot be fully obtained. To realize the design of the algorithm under the assumption that the model information is unknown, the equivalent functional relationship between the control signal and the area-control-error signal is established by using a dynamic linearization technique. Then, a data-driven control algorithm with time delays is developed, in which a tracking differentiator is designed to obtain the derivative value of the system output signal for the improved model free adaptive structure. On this basis, to reduce the computation and communication burden of the multimicrogrid system, an event-triggered mechanism is proposed. The stability of the system is analyzed by using the Lyapunov stability theory. Finally, simulation results in a three-area multimicrogrid interconnected system verify the effectiveness of the proposed algorithm.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"2266-2277"},"PeriodicalIF":5.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110318","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}
Pub Date : 2025-04-08DOI: 10.1109/TCNS.2025.3558825
Xiao-Lin Cheng;Kun-Zhi Liu;Yan-Wei Wang;Xi-Ming Sun
This article is concerned with the problem of safety-critical control for nonlinear systems under the event-triggered control paradigm. In networked control systems, the controller generates control inputs based on sampled data to ensure the safety and stability of the plant. However, the combined effects of quantization and time-varying delay introduced by digital communication networks have rarely been considered in safety-critical control. This article develops sufficient conditions for the design of safety and stabilizing control laws and provides explicit safety and input-to-state stability thresholds for networked control systems. In addition, we present provable extensions that can cope with the network-induced challenges mentioned above. In the context of periodic event-triggered mechanism, we formulate optimal control problems with constraints in the form of high-order control barrier functions and control Lyapunov functions. Finally, we apply the proposed strategy to adaptive cruise control, and illustrate that the event-based control approach effectively reduces communication traffic while achieving the control objectives.
{"title":"Safety-Critical Event-Triggered Control for Networked Control Systems Under Quantization and Time-Varying Delay","authors":"Xiao-Lin Cheng;Kun-Zhi Liu;Yan-Wei Wang;Xi-Ming Sun","doi":"10.1109/TCNS.2025.3558825","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3558825","url":null,"abstract":"This article is concerned with the problem of safety-critical control for nonlinear systems under the event-triggered control paradigm. In networked control systems, the controller generates control inputs based on sampled data to ensure the safety and stability of the plant. However, the combined effects of quantization and time-varying delay introduced by digital communication networks have rarely been considered in safety-critical control. This article develops sufficient conditions for the design of safety and stabilizing control laws and provides explicit safety and input-to-state stability thresholds for networked control systems. In addition, we present provable extensions that can cope with the network-induced challenges mentioned above. In the context of periodic event-triggered mechanism, we formulate optimal control problems with constraints in the form of high-order control barrier functions and control Lyapunov functions. Finally, we apply the proposed strategy to adaptive cruise control, and illustrate that the event-based control approach effectively reduces communication traffic while achieving the control objectives.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"2219-2230"},"PeriodicalIF":5.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110263","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}
Pub Date : 2025-04-08DOI: 10.1109/TCNS.2025.3558779
Xiongnan He;Zongli Lin;Qing Chang
In this article, we study the distributed Nash equilibrium seeking problem for energy consumption of multizone heating, ventilation, and air conditioning (HVAC) systems. Beyond considering the aggregation of users' strategies in energy costs, we incorporate comfort levels into the cost function, enhancing its applicability to reflect users' comprehensive demands. In addition, this study considers the energy consumption of an HVAC system that is governed by the regulated indoor temperatures within its zones and addresses the dynamics of the temperatures, presenting a noncooperative Nash game involving players with dynamic models in the context of a multizone HVAC systems connected by a strongly connected communication network. The dynamics of the indoor temperature in each zone is affected by the outside environment, the external thermal disturbance, and the temperatures in its neighboring zones. The disturbances we consider are general bounded disturbances with unknown bounds. Furthermore, we also consider temperature constraints in individual zones to accommodate the requirements of the HVAC users. Consequently, the distributed estimator approach, the adaptive control method, and the projected gradient-based technique are integrated to address all these considerations. Both full and partial information cases are studied, and the resulting algorithms are illustrated on a numerical example of an energy consumption game.
{"title":"Aggregative Game Analysis for Energy Consumption of Multizone HVAC Systems","authors":"Xiongnan He;Zongli Lin;Qing Chang","doi":"10.1109/TCNS.2025.3558779","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3558779","url":null,"abstract":"In this article, we study the distributed Nash equilibrium seeking problem for energy consumption of multizone heating, ventilation, and air conditioning (HVAC) systems. Beyond considering the aggregation of users' strategies in energy costs, we incorporate comfort levels into the cost function, enhancing its applicability to reflect users' comprehensive demands. In addition, this study considers the energy consumption of an HVAC system that is governed by the regulated indoor temperatures within its zones and addresses the dynamics of the temperatures, presenting a noncooperative Nash game involving players with dynamic models in the context of a multizone HVAC systems connected by a strongly connected communication network. The dynamics of the indoor temperature in each zone is affected by the outside environment, the external thermal disturbance, and the temperatures in its neighboring zones. The disturbances we consider are general bounded disturbances with unknown bounds. Furthermore, we also consider temperature constraints in individual zones to accommodate the requirements of the HVAC users. Consequently, the distributed estimator approach, the adaptive control method, and the projected gradient-based technique are integrated to address all these considerations. Both full and partial information cases are studied, and the resulting algorithms are illustrated on a numerical example of an energy consumption game.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"2194-2206"},"PeriodicalIF":5.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110266","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}
Pub Date : 2025-04-08DOI: 10.1109/TCNS.2025.3558802
Iven Guzel;Richard Y. Zhang
To estimate accurate voltage phasors from inaccurate voltage magnitude and complex power measurements, the standard approach is to iteratively refine a good initial guess using the Gauss–Newton method. However, the nonconvexity of the estimation makes the Gauss–Newton method sensitive to its initial guess, so human intervention is needed to detect convergence to plausible but ultimately spurious estimates. This article makes a novel connection between the angle estimation subproblem and phase synchronization to yield two key benefits: first, an exceptionally high-quality initial guess over the angles, known as a spectral initialization, and second, a correctness guarantee for the estimated angles, known as a global optimality certificate. These are formulated as sparse eigenvalue–eigenvector problems, which we efficiently compute in time comparable to a few Gauss–Newton iterations. Our experiments on the complete set of Polish, PEGASE, and RTE models show, where voltage magnitudes are already reasonably accurate, that spectral initialization provides an almost-perfect single-shot estimation of $n$ angles from $2n$ moderately noisy bus power measurements (i.e., $n$ pairs of PQ measurements), whose correctness becomes guaranteed after a single Gauss–Newton iteration. For less-accurate voltage magnitudes, the performance of the method degrades gracefully; even with moderate voltage magnitude errors, the estimated voltage angles remain surprisingly accurate.
{"title":"Power System State Estimation by Phase Synchronization and Eigenvectors","authors":"Iven Guzel;Richard Y. Zhang","doi":"10.1109/TCNS.2025.3558802","DOIUrl":"https://doi.org/10.1109/TCNS.2025.3558802","url":null,"abstract":"To estimate accurate voltage phasors from inaccurate voltage magnitude and complex power measurements, the standard approach is to iteratively refine a good initial guess using the Gauss–Newton method. However, the nonconvexity of the estimation makes the Gauss–Newton method sensitive to its initial guess, so human intervention is needed to detect convergence to plausible but ultimately spurious estimates. This article makes a novel connection between the angle estimation subproblem and phase synchronization to yield two key benefits: first, an exceptionally high-quality initial guess over the angles, known as a <italic>spectral initialization</i>, and second, a correctness guarantee for the estimated angles, known as a <italic>global optimality certificate</i>. These are formulated as sparse eigenvalue–eigenvector problems, which we efficiently compute in time comparable to a few Gauss–Newton iterations. Our experiments on the complete set of Polish, PEGASE, and RTE models show, where voltage magnitudes are already reasonably accurate, that spectral initialization provides an almost-perfect single-shot estimation of <inline-formula><tex-math>$n$</tex-math></inline-formula> angles from <inline-formula><tex-math>$2n$</tex-math></inline-formula> moderately noisy bus power measurements (i.e., <inline-formula><tex-math>$n$</tex-math></inline-formula> pairs of PQ measurements), whose correctness becomes guaranteed after a single Gauss–Newton iteration. For less-accurate voltage magnitudes, the performance of the method degrades gracefully; even with moderate voltage magnitude errors, the estimated voltage angles remain surprisingly accurate.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 3","pages":"2207-2218"},"PeriodicalIF":5.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10955489","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145110285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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