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Data-Driven Disturbance Decoupling Problem
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-28 DOI: 10.1109/LCSYS.2025.3535787
N. Naveen Mukesh;Deepak U. Patil;Debasattam Pal
{"title":"Data-Driven Disturbance Decoupling Problem","authors":"N. Naveen Mukesh;Deepak U. Patil;Debasattam Pal","doi":"10.1109/LCSYS.2025.3535787","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3535787","url":null,"abstract":"In this letter, a data-driven solution to the disturbance decoupling problem (DDP) is provided. The required data consists of initial conditions, input, and output which is assumed to be corrupted by an unknown disturbance signal. A criterion is derived to check solvability of DDP just using the experimental (noisy) data. Further, data-driven computation of the largest controlled invariant subspace contained in the kernel of the output matrix is provided. The necessary state feedback matrices (often called friends of this subspace) for solving the DDP, are also computed using the experimental (noisy) data. In the process, several novel equivalent conditions for solvability of DDP are also established.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3374-3379"},"PeriodicalIF":2.4,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422852","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}
引用次数: 0
Asynchronous Event-Triggered H∞ Control for Continuous-Time Markov Jump Systems
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-27 DOI: 10.1109/LCSYS.2025.3534476
Zhaowen Xu;Yibo Yu;Zheng-Guang Wu;Ying Shen
{"title":"Asynchronous Event-Triggered H∞ Control for Continuous-Time Markov Jump Systems","authors":"Zhaowen Xu;Yibo Yu;Zheng-Guang Wu;Ying Shen","doi":"10.1109/LCSYS.2025.3534476","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3534476","url":null,"abstract":"The objective of this letter is to address the event-based <inline-formula> <tex-math>${H}_{infty }$ </tex-math></inline-formula> control problem for continuous-time hidden Markov jump systems. A continuous-time hidden Markov model is introduced where parameters can be tuned to fully describe the asynchronous phenomenon between the controller and system modes. To reduce the communication load on the network, an event-triggered scheme is integrated into the design of the asynchronous controller. By employing the Lyapunov-Krasoviskii functional approach, sufficient conditions are derived for constructing an event-based mode-dependent controller that ensures <inline-formula> <tex-math>${H}_{infty }$ </tex-math></inline-formula> performance for the closed-loop system under event-triggered scheme. Finally, to substantiate the effectiveness of the proposed results and to demonstrate its potential application in real-world systems, a tunnel diode circuit model is introduced.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3386-3391"},"PeriodicalIF":2.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422851","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}
引用次数: 0
Disturbance Observer-Parameterized Control Barrier Function With Adaptive Safety Bounds
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-27 DOI: 10.1109/LCSYS.2025.3535379
Ziqi Yang;Lihua Xie
{"title":"Disturbance Observer-Parameterized Control Barrier Function With Adaptive Safety Bounds","authors":"Ziqi Yang;Lihua Xie","doi":"10.1109/LCSYS.2025.3535379","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3535379","url":null,"abstract":"This letter presents a nonlinear disturbance observer-parameterized control barrier function (DOp-CBF) designed for a robust safety control system under external disturbances. This framework emphasizes that the safety bounds are relevant to the disturbances, acknowledging the critical impact of disturbances on system safety. This letter incorporates a disturbance observer (DO) as an adaptive mechanism of the safety bounds design. Instead of considering the worst-case scenario, the safety bounds are dynamically adjusted using DO. The forward invariance of the proposed method regardless of the observer error is ensured, and the corresponding optimal control formulation is presented. The performance of the proposed method is demonstrated through simulations of a cruise control problem under varying road grades. The influence of road grade on the safe distance between vehicles is analyzed and managed using a DO. The results demonstrate the advantages of this approach in maintaining safety and improving system performance under disturbances.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3380-3385"},"PeriodicalIF":2.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422952","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}
引用次数: 0
Strategy Diffusion and Conformity in Evolutionary Dynamics on General Networks
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-27 DOI: 10.1109/LCSYS.2025.3535301
Rio Aurachman;Giuliano Punzo
{"title":"Strategy Diffusion and Conformity in Evolutionary Dynamics on General Networks","authors":"Rio Aurachman;Giuliano Punzo","doi":"10.1109/LCSYS.2025.3535301","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3535301","url":null,"abstract":"Networks of social interactions can drive the dynamics of socio-technical systems. In groups, where strategic decisions are shaped by the tension between cooperation and defection, the replicator equation serves as a valuable tool underpinning the modelling of evolutionary dynamics of strategies. In this letter, we integrate the replicator dynamics with an SI (Susceptible-Infected) model for information diffusion in general networks. Considering also conformity, we model the evolution of cooperation in a public good game. The trajectories of the resulting dynamical systems converge to consensus about an internal point solution in the snowdrift setting and boundary solutions of full cooperation or full defection in social dilemmas, asymmetric games and stag hunt settings. Through the application of the Lyapunov stability theorem, we establish the stability of the internal equilibrium point. We then examine the basin of attraction obtaining the conditions leading to full cooperation. This letter is relevant for the study of social dynamics in groups where strategic interactions are mediated by conformity.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3398-3403"},"PeriodicalIF":2.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422850","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}
引用次数: 0
Memory Augmented Adaptive Identification and Control of Switched Euler–Lagrange Systems
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-24 DOI: 10.1109/LCSYS.2025.3533896
Pritesh Patel;Sayan Basu Roy;Shubhendu Bhasin
{"title":"Memory Augmented Adaptive Identification and Control of Switched Euler–Lagrange Systems","authors":"Pritesh Patel;Sayan Basu Roy;Shubhendu Bhasin","doi":"10.1109/LCSYS.2025.3533896","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3533896","url":null,"abstract":"This letter proposes an online adaptive identification and control method for a switched Euler-Lagrange systems ensuring global exponential stability of the tracking error, filter tracking error and parameter estimation errors to the equilibrium point. Parameter estimators are designed for every subsystem to help with parameter learning during both the active and inactive phases of the subsystem. Parameter convergence to true values is analyzed without the persistence of excitation (PE) condition on the regressor with the dual layer low pass filter architecture. Inspired by the author’s previous work on switched linear systems, this letter extends the idea of memory augmentation for parameter learning in the inactive phase of the subsystem and intermittent initial excitation (IIE) condition to relax the PE condition to switched EL systems. The combination of memory augmentation and IIE conditions helps achieve the global exponential stability (GES) of the overall error of switched EL systems. A numerical simulation is presented to demonstrate the efficiency of the proposed algorithm.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3422-3427"},"PeriodicalIF":2.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143564151","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}
引用次数: 0
Hierarchical Network Partitioning for Solution of Potential-Driven, Steady-State Nonlinear Network Flow Equations
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-23 DOI: 10.1109/LCSYS.2025.3533383
Shriram Srinivasan;Kaarthik Sundar
{"title":"Hierarchical Network Partitioning for Solution of Potential-Driven, Steady-State Nonlinear Network Flow Equations","authors":"Shriram Srinivasan;Kaarthik Sundar","doi":"10.1109/LCSYS.2025.3533383","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3533383","url":null,"abstract":"The solution of potential-driven steady-state flow in large networks is a task which manifests in various engineering applications, such as transport of natural gas or water through pipeline networks. The resultant system of nonlinear equations depends on the network topology, and in general, there is no numerical algorithm that offers guaranteed convergence to the solution (assuming a solution exists). Some methods offer guarantees in cases where the network topology satisfies certain assumptions, but these methods fail for larger networks. On the other hand, the Newton-Raphson algorithm offers a convergence guarantee if the starting point lies close to the (unknown) solution. It would be advantageous to compute the solution of the large nonlinear system through the solution of smaller nonlinear sub-systems wherein the solution algorithms (Newton-Raphson or otherwise) are more likely to succeed. This letter proposes and describes such a procedure, a hierarchical network partitioning algorithm that enables the solution of large nonlinear systems corresponding to potential-driven steady-state network flow equations.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3368-3373"},"PeriodicalIF":2.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422795","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}
引用次数: 0
Data-Driven Analysis of T-Product-Based Dynamical Systems 基于 T-Product 的动态系统的数据驱动分析
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-21 DOI: 10.1109/LCSYS.2025.3532470
Xin Mao;Anqi Dong;Ziqin He;Yidan Mei;Shenghan Mei;Ren Wang;Can Chen
{"title":"Data-Driven Analysis of T-Product-Based Dynamical Systems","authors":"Xin Mao;Anqi Dong;Ziqin He;Yidan Mei;Shenghan Mei;Ren Wang;Can Chen","doi":"10.1109/LCSYS.2025.3532470","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3532470","url":null,"abstract":"A wide variety of data can be represented using third-order tensors. Applications of these tensors include chemometrics, psychometrics, and image/video processing. However, traditional data-driven frameworks are not naturally equipped to process tensors without first unfolding or flattening the data, which can result in a loss of crucial higher-order structural information. In this letter, we introduce a novel framework for data-driven analysis of T-product-based dynamical systems (TPDSs), where the system evolution is governed by the T-product between a third-order dynamic tensor and a third-order state tensor. In particular, we examine the data informativity of TPDSs concerning system identification, stability, controllability, and stabilizability and illustrate significant computational improvements over unfolding-based approaches by leveraging the unique properties of the T-product. The effectiveness of our framework is demonstrated through both synthetic and real-world examples.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3356-3361"},"PeriodicalIF":2.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184171","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}
引用次数: 0
Novel Sufficient Conditions for Stabilization of Linear Positive Discrete-Time Systems Using Event-Triggered Control
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-17 DOI: 10.1109/LCSYS.2025.3531039
Nguyen Huu Sau;Mai Viet Thuan
{"title":"Novel Sufficient Conditions for Stabilization of Linear Positive Discrete-Time Systems Using Event-Triggered Control","authors":"Nguyen Huu Sau;Mai Viet Thuan","doi":"10.1109/LCSYS.2025.3531039","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3531039","url":null,"abstract":"This letter investigates stabilizing discrete-time systems with delays using an event-triggered control (ETC) approach. Novel event-triggering conditions are proposed to ensure system positivity and stability thresholds. Sufficient conditions are derived to guarantee that the closed-loop system remains positive and exponentially stable, with criteria easily verifiable in MATLAB. We also address the nontriviality of the sequence of event instants to ensure the practical effectiveness of the proposed method. Two numerical examples are presented to illustrate the effectiveness of the proposed method.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3345-3349"},"PeriodicalIF":2.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184228","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}
引用次数: 0
Modified Finite-Time and Prescribed-Time Convergence Parameter Estimators via the DREM Method
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-17 DOI: 10.1109/LCSYS.2025.3531212
Wenrui Shi;Christodoulos Keliris;Mingzhe Hou;Marios M. Polycarpou
{"title":"Modified Finite-Time and Prescribed-Time Convergence Parameter Estimators via the DREM Method","authors":"Wenrui Shi;Christodoulos Keliris;Mingzhe Hou;Marios M. Polycarpou","doi":"10.1109/LCSYS.2025.3531212","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3531212","url":null,"abstract":"This letter proposes a class of modified continuous-time (CT) and discrete-time (DT) finite-time convergence (FTC) estimators based on the dynamic regressor extension and mixing (DREM) method, additionally the same two estimators with alertness preservation and, finally CT and DT prescribed-time convergence (PTC) estimators. In contrast to previously designed FTC estimators based on the DREM method, by introducing the integration and the summation operations, the proposed ones possess the following features: (i) the convergence rate is improved; (ii) the FTC property can be maintained even for a weaker excitation signal. Additionally, the proposed PTC estimators ensure that under certain conditions the estimate converges to the unknown parameter in the prescribed time.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3350-3355"},"PeriodicalIF":2.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184230","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}
引用次数: 0
Refined Eigenvalue Decay Bounds for Controllability Gramians of Sparsely-Actuated Symmetric LTI Systems
IF 2.4
IEEE Control Systems Letters Pub Date : 2025-01-16 DOI: 10.1109/LCSYS.2025.3530636
Chenyan Zhu;Sandip Roy
{"title":"Refined Eigenvalue Decay Bounds for Controllability Gramians of Sparsely-Actuated Symmetric LTI Systems","authors":"Chenyan Zhu;Sandip Roy","doi":"10.1109/LCSYS.2025.3530636","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3530636","url":null,"abstract":"Refined bounds are obtained for the eigenvalues of the controllability Gramian for a linear system with a Hurwitz, symmetric state matrix. The new bounds are phrased in terms of partial condition numbers (ratios of intermediate eigenvalues) of the state matrix. The bounds are found to compare favorably with existing results for several examples, particularly in cases where the system has time-scale separations or multiple eigenvalues in narrow bands.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3362-3367"},"PeriodicalIF":2.4,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184172","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}
引用次数: 0
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