{"title":"Event-triggered predefined-time tracking control for uncertain nonlinear systems with constraints related to full state information","authors":"Lihong Gao , Zhen Wang , Xia Huang , Hao Shen , Jianwei Xia","doi":"10.1016/j.sysconle.2025.106104","DOIUrl":"10.1016/j.sysconle.2025.106104","url":null,"abstract":"<div><div>This paper addresses the event-triggered predefined-time tracking control problem for a class of uncertain nonlinear systems with unmeasurable and constrained states. State observers are designed to estimate unmeasurable states. Additionally, coordinate transformations and barrier Lyapunov functions are employed to handle state constraints effectively. An event-triggered mechanism with a switching threshold is introduced to save communication resources while preventing Zeno behavior. The proposed control strategy ensures that all closed-loop system signals remain bounded, state constraints are satisfied, and the tracking error converges to a small neighborhood of the origin within a predefined time. The effectiveness of the proposed approach is validated through a numerical example and the Van Der Pol oscillator.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"202 ","pages":"Article 106104"},"PeriodicalIF":2.1,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858771","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}
{"title":"Uniformly absolute exponential and polynomial stability of semi-discrete approximations for wave equation under nonlinear boundary control","authors":"Bao-Zhu Guo , Yi Wang","doi":"10.1016/j.sysconle.2025.106101","DOIUrl":"10.1016/j.sysconle.2025.106101","url":null,"abstract":"<div><div>In this paper, we apply an order reduction semi-discretization scheme to a wave equation subject to nonlinear boundary control, achieving uniform stability that encompasses both exponential and polynomial stability, with uniformly absolute stability as special cases. Firstly, we showcase that the energy decay rate of the classical finite difference semi-discretized system fails to maintain uniformity with respect to the mesh size, approaching zero as mesh size tends to zero. Next, we propose a finite difference semi-discretization scheme that using the order reduction method and prove that it maintains uniform exponential or polynomial stability with respect to the mesh size. Additionally, we establish the weak convergence of the discrete solution to the continuous solution. Lastly, we conduct numerical experiments to illustrate the non-uniform stabilization of the classical finite difference semi-discretized system in relation to mesh size and validate the effectiveness of the numerical scheme derived from the finite difference method based on order reduction.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"202 ","pages":"Article 106101"},"PeriodicalIF":2.1,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858702","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}
{"title":"Stability criterion for linear commensurate delay systems: A Lyapunov matrix and piecewise constant discretization approach","authors":"Irina V. Alexandrova, Aleksandr I. Belov","doi":"10.1016/j.sysconle.2025.106112","DOIUrl":"10.1016/j.sysconle.2025.106112","url":null,"abstract":"<div><div>In this work, a new exponential stability criterion of finite dimension based on the delay Lyapunov matrix is derived for linear systems with multiple commensurate delays. It relies on a simple piecewise constant approximation of the matrix kernels of functionals with prescribed derivatives followed by the explicit error bound. The criterion combines an elegant structure of the block matrix, whose positive definiteness is to be tested, with a reasonable matrix dimension.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"202 ","pages":"Article 106112"},"PeriodicalIF":2.1,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858772","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}
{"title":"Deep learning for conditional McKean–Vlasov jump diffusions","authors":"Nacira Agram , Jan Rems","doi":"10.1016/j.sysconle.2025.106100","DOIUrl":"10.1016/j.sysconle.2025.106100","url":null,"abstract":"<div><div>The current paper focuses on using deep learning methods to optimize the control of conditional McKean–Vlasov jump diffusions. We begin by exploring the dynamics of multi-particle jump-diffusion and presenting the propagation of chaos. The optimal control problem in the context of conditional McKean–Vlasov jump-diffusion is introduced along with the verification theorem (HJB equation). A linear quadratic conditional mean-field (LQ CMF) is discussed to illustrate these theoretical concepts. Then, we introduce a deep-learning algorithm that combines neural networks for optimization with path signatures for conditional expectation estimation. The algorithm is applied to practical examples, including LQ CMF and interbank systemic risk, and we share the resulting numerical outcomes.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"201 ","pages":"Article 106100"},"PeriodicalIF":2.1,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851894","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}
{"title":"Repetitive control tools for an original approach to convex optimization problems under affine periodic constraints","authors":"Daniele Astolfi , Cristiano M. Verrelli","doi":"10.1016/j.sysconle.2025.106095","DOIUrl":"10.1016/j.sysconle.2025.106095","url":null,"abstract":"<div><div>This paper provides a solution to the online convex optimization problem under a class of affine constraints, periodic with a known period. Functions whose minimizer vector exhibits a constant component within the kernel space of the constraint horizontal matrix are considered. By resorting to the latest developments in the repetitive control (RC) theory, two algorithms are originally presented: the first one resorting to the point-wise use of the delay as a universal periodic signal generator, the second one relying on the PDE (Partial Differential Equation) transport-equation-based theory. Both of them naturally extend the standard primal–dual algorithm acting in the constant constraint scenario, while guaranteeing global asymptotic convergence properties. Indeed, the two main different RC approaches in the literature are applied to the same optimization problem, while drawing original conclusions under the adoption of a common view. The derivation of an internal-model-based finite-dimensional (spectral) approximation for the latter introduces a further interpretation of the renowned adaptive learning control.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"201 ","pages":"Article 106095"},"PeriodicalIF":2.1,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838983","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}
{"title":"State constrained control strategy for stochastic nonlinear systems based on small gain and tangent function properties","authors":"Yang Chen, Yukun Song","doi":"10.1016/j.sysconle.2025.106099","DOIUrl":"10.1016/j.sysconle.2025.106099","url":null,"abstract":"<div><div>In stochastic system control, the existence of randomness makes it challenging to limit the system state within the required range. The objective of this paper is to design a small gain adaptive controller with state constraints in the presence of uncertain factors such as unknown covariance noise and interference. A property of tangent barrier function is investigated, so that barrier Lyapunov function can be novel imbedded into the small gain controller and there is no violation of the time-varying constraints in the stochastic setting. Meanwhile, it has provided a detailed explanation in the remarks regarding the relationship between the new properties and the differential homeomorphism transformation method. Under the framework of the backstepping method, the combination of changing supply function and the small gain approach is used to obtain the stochastic input-to-state practically stability Lyapunov function of the subsystem, overcoming the influence of unknown covariance noise, unknown dynamics, and unknown parameters. Experimental results have shown the effectiveness of the entire system design.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"201 ","pages":"Article 106099"},"PeriodicalIF":2.1,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143790998","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}
{"title":"Adaptive boundary observer for Euler–Bernoulli beam equations with nonlinear dynamics and parameter uncertainties","authors":"Ruixin Wu, Yu Xiao, Xiaodong Xu","doi":"10.1016/j.sysconle.2025.106096","DOIUrl":"10.1016/j.sysconle.2025.106096","url":null,"abstract":"<div><div>This paper focuses on designing boundary adaptive observers for systems that can be modeled as Euler–Bernoulli beams and are represented by fourth-order partial differential equations. Specifically, the objective is to estimate the entire state of the beam solely based on measurements taken at its boundaries. The difficulty of this study lies not only in the uncertain parameters contained in the boundary and domain of the beam but also in taking into account the interior nonlinearity in-domain. Unlike many observers in adaptive control frameworks that do not require accurate estimation of unknown parameters, our approach is dedicated to accurately estimating both the system state and the unknown parameters. The crucial element in the design process of the adaptive observer is the introduction of a kind of finite-dimensional backstepping-like transformation, based on which we can transform the observer error system into the desired system. Then, we can use common parameter estimation methods, allowing the design of the parameter adaptive law to be decoupled from the choice of the state estimator. Using Lyapunov stability analysis, we show that the observer converges exponentially under persistent excitation conditions. Numerical simulations also demonstrate the effectiveness of the observer.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"201 ","pages":"Article 106096"},"PeriodicalIF":2.1,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786277","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}
{"title":"Positive limit set in novel hybrid systems with interactions between differential dynamics and evolutionary games","authors":"Yuting Xue , Jitao Sun","doi":"10.1016/j.sysconle.2025.106080","DOIUrl":"10.1016/j.sysconle.2025.106080","url":null,"abstract":"<div><div>This paper proposes a novel class of hybrid systems and investigates its positive limit set theory. The new model is motivated by hybrid characters of evolutionary games, sparse research concerning interactions between games and dynamics, and practical backgrounds that varying environmental factors lead to various impacts. The model consists of continuous dynamics, transient impulse, logical evolution of game strategies, and their interactions where evolutionary games determine the type of impulse. Such model has generality and practicality, and is rarely studied. Firstly, via semi-tensor product, proposed hybrid systems are converted into the complete algebraic representation. Next, we investigate the basic properties to lay the foundation for discussions about the positive limit set, including left-continuity, semi-group, quasi-continuous dependence, and boundedness. Then we discuss non-emptiness, closeness, compactness, and invariance of the positive limit set. Finally a numerical example is given to show the validity of main results.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"200 ","pages":"Article 106080"},"PeriodicalIF":2.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767493","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}
{"title":"On the necessity and sufficiency of the small phase theorem for nonlinear fading memory systems","authors":"Tianqiu Yu, Chao Zhang","doi":"10.1016/j.sysconle.2025.106081","DOIUrl":"10.1016/j.sysconle.2025.106081","url":null,"abstract":"<div><div>This paper is concerned with the phases of sectorial systems to closed-loop stability of discrete-time time-varying (TV) nonlinear systems with fading memory. The framework considers a nonlinear system to be a causal nonlinear operator on signal spaces. For the class of stable nonlinear systems with fading memory, a small phase theorem is established for closed-loop stability. When the closed-loop system is uniformly stable over the phase bounded uncertainty set, we show that the small phase theorem is necessary.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"200 ","pages":"Article 106081"},"PeriodicalIF":2.1,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737936","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}
{"title":"Some computations for optimal execution with monotone strategies","authors":"Yan Dolinsky","doi":"10.1016/j.sysconle.2025.106083","DOIUrl":"10.1016/j.sysconle.2025.106083","url":null,"abstract":"<div><div>We study an optimal execution problem in the infinite horizon setup. Our financial market is given by the Black–Scholes model with a linear price impact. The main novelty of the current note is that we study the constrained case where the number of shares and the selling rate are non-negative processes. For this case we give a complete characterization of the value and the optimal control via a solution of a non-linear ordinary differential equation (ODE). Furthermore, we provide an example where the non-linear ODE can be solved explicitly. Our approach is purely probabilistic.</div></div>","PeriodicalId":49450,"journal":{"name":"Systems & Control Letters","volume":"200 ","pages":"Article 106083"},"PeriodicalIF":2.1,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735322","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}