{"title":"Feedback Regulation for Irreducible Max-Plus Linear Systems","authors":"Pengcheng Chen;Jiye Zhang;Cailu Wang","doi":"10.1109/LCSYS.2025.3540947","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3540947","url":null,"abstract":"This letter proposes the feedback regulation of max-plus linear systems, and designs the regulator for irreducible systems that ensures the system can directly enter a uniform periodic steady state, regardless of the initial input. The feedback regulator configures the period and transient of the system to become 1. Moreover, it preserves the eigenvalues and eigenvectors of the original system. The proposed method is constructive and has polynomial complexity. The feedback regulation approach is applied in manufacturing systems to streamline operations and improve consistency.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3404-3409"},"PeriodicalIF":2.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455316","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":"Adaptive Super-Twisting Sliding Mode Control With Disturbance Compensation for Speed Regulation of PMSM System","authors":"Yaping He;Zhongkun Cao;Jianliang Mao;Kun Liang;Chuanlin Zhang","doi":"10.1109/LCSYS.2025.3541167","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3541167","url":null,"abstract":"To improve the dynamic performance and disturbance rejection capability of the permanent magnet synchronous motor (PMSM) system, an adaptive super-twisting nonsingular terminal sliding mode control (AST-NTSMC) approach based on the disturbance compensation technique is investigated in this letter. Firstly, the dynamic model of PMSM system under non-cascade structure is formulated, and two high-order sliding mode observers (HOSMOs) are designed to estimate and compensate for both matched and mismatched disturbances within the system. A composite non-cascade speed controller is subsequently developed. While a larger switching gain coefficient can enhance dynamic performance and disturbance rejection ability, it often tends to increase chattering issues. To tackle this challenge, an adaptive mechanism is proposed for the PMSM speed regulation system, allowing dynamic adjustment of the gain coefficient during the sliding mode reaching phase, which significantly enhances both dynamic and steady-state performance compared to the conventional NTSMC method. Experimental results validate the effectiveness of the proposed control approach.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3410-3415"},"PeriodicalIF":2.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471816","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":"Energy-Efficient Automated Driving for Everyday Maneuvers: Fundamentals to Experimentation","authors":"Tyler Ard;Jihun Han;Prakhar Gupta;Dominik Karbowski;Yunyi Jia;Ardalan Vahidi","doi":"10.1109/LCSYS.2025.3539207","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3539207","url":null,"abstract":"Energy-efficient driving is a key advancement in the deployment of automated vehicles once safety concerns are addressed. This letter formulates the energy-efficient driving problem with constraints and explores various solution methods for common driving scenarios. The findings, rooted in theory of optimal control and Pontryagin’s Minimum Principle (PMP), offer fundamental insights into energy-efficient driving strategies in every-day driving scenarios. Analytical insights from PMP, coupled with fast analytical solution of the respective boundary value problem, enabled implementation in a real-time control system and near-optimal energy savings. The proposed approach was validated through real vehicle testing on the track, with results demonstrating that automated eco-driving can achieve significant energy savings over human drivers in basic daily driving scenarios. This letter not only highlights the effectiveness of the proposed approach but also provides practical guidance for integrating energy-efficient driving strategies into real-world automated driving and advanced driver assistance systems.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"9-14"},"PeriodicalIF":2.4,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706773","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":"Decentralized Fault Diagnosis for Constant-Time Automata","authors":"Shaowen Miao;Aiwen Lai;Jan Komenda;Sébastien Lahaye","doi":"10.1109/LCSYS.2025.3538737","DOIUrl":"https://doi.org/10.1109/LCSYS.2025.3538737","url":null,"abstract":"This letter investigates the verification problem of codiagnosability for discrete-event systems modeled by constant-time automata (CTAs). Codiagnosability requires that the occurrence of a fault event necessarily be detected by at least one local diagnostic agent within a finite number of events after the fault event occurs. In the present work, we first construct a verifier to check the codiagnosability of CTAs in the decentralized architecture. Additionally, an inappropriate, lower-complexity statement concerning diagnosability verification in our previous work is corrected. This correction prompts us to investigate the underlying reasons for increased complexity and to propose a condition for complexity reduction based on the verifier. Furthermore, another important contribution is our demonstration of the equivalence between diagnosability and codiagnosability for CTAs, an equivalence that does not hold in the framework of logical finite state automata. This equivalence serves as another verification technique for the codiagnosability of CTAs.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3392-3397"},"PeriodicalIF":2.4,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422951","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":"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}
{"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}
{"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}
{"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}
{"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}
{"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}