Xingxing You , Yifei Pu , Yanli Zou , Zixin Tang , Tao Zhao , Songyi Dian
{"title":"Command filtered and observer-based adaptive neural event-triggered control for fractional-order nonlinear systems with actuator fault","authors":"Xingxing You , Yifei Pu , Yanli Zou , Zixin Tang , Tao Zhao , Songyi Dian","doi":"10.1016/j.cnsns.2025.108939","DOIUrl":"10.1016/j.cnsns.2025.108939","url":null,"abstract":"<div><div>This paper investigates the tracking control problem for the uncertain fractional-order nonlinear systems (FONSs) with unmeasured states and unknown control gain subject to external disturbances and actuator fault, under restricted communication resources. First, the radial basis function neural networks (RBF NNs) are deployed to identify the unknown smooth nonlinear function. Subsequently, a neural network-based state observer is constructed based on this identification to estimate the unknown states of the original FONS. Then, an adaptive neural event-triggered fault-tolerant controller (ANETFTC) is developed by adopting the backstepping method, fractional-order command filter (FOCF) and Lyapunov stability theory. In the event of external disturbances and actuator fault, the designed ANETFTC not only ensures the tracking performance of uncertain FONS so that the tracking error can converge to a neighborhood near the origin but also the observer designed based on this controller can better approximate the original system states. Simulation analysis further verifies the effectiveness and availability of control strategy.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108939"},"PeriodicalIF":3.4,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mittag-Leffler projective synchronization of Caputo fractional-order reaction–diffusion memristive neural networks with multi-type time delays","authors":"Kai Wu , Ming Tang , Han Ren","doi":"10.1016/j.cnsns.2025.108934","DOIUrl":"10.1016/j.cnsns.2025.108934","url":null,"abstract":"<div><div>Neural synchronization plays a crucial role in understanding complex brain functions and driving advancements in artificial intelligence. This paper investigates the Mittag-Leffler projective synchronization in Caputo fractional-order memristive neural networks with reaction–diffusion dynamics and multiple time-varying delays. To address parameter mismatches and achieve synchronization, two adaptive controllers are designed: one for networks with bounded activation functions and another for those with unbounded functions. By leveraging fractional calculus, a novel inequality is derived for fractional-order systems with diverse time-varying delays. This inequality, combined with Green’s formula, Fubini’s theorem, and the Lyapunov functional method, leads to the establishment of algebraic conditions required for achieving Mittag-Leffler projective synchronization in these networks. Finally, numerical simulations validate the theoretical findings, demonstrating the efficacy and reliability of the proposed method.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108934"},"PeriodicalIF":3.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Strong convergence of inertial extragradient methods for solving pseudomonotone variational inequality problems","authors":"Qian Yan , Libo An , Gang Cai , Qiao-Li Dong","doi":"10.1016/j.cnsns.2025.108938","DOIUrl":"10.1016/j.cnsns.2025.108938","url":null,"abstract":"<div><div>The extragradient method is an efficient approach for solving variational inequality problems. In this paper, we propose two kinds of inertial viscosity extragradient methods with new step sizes for tackling variational inequality problems characterized by pseudomonotone and Lipschitz continuous cost operator in real Hilbert spaces. Notably, these algorithms necessitate the computation of just a single projection onto the feasible set, and the introduced step sizes exhibit a nonincreasing pattern while being independent of the Lipschitz constant of the cost operator. Strong convergence theorems of the presented algorithms are established under some conditions. Numerical experiments are conducted to demonstrate the efficiency and reliability of our algorithms.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108938"},"PeriodicalIF":3.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Capturing the short-term characteristics of a barred galaxy from a single snapshot","authors":"P. Sánchez-Martín , J. Amorós , J.J. Masdemont","doi":"10.1016/j.cnsns.2025.108923","DOIUrl":"10.1016/j.cnsns.2025.108923","url":null,"abstract":"<div><div>Using a dataset of stars from a barred galaxy that provides instantaneous positions and velocities in the sky, we propose a method to identify its key structures, such as the central bar and spiral arms, and to determine the bar pattern speed in the short term. This is accomplished by applying combinatorial and topological data analysis techniques to the available star-state information set.</div><div>To validate the methodology, we apply it to two scenarios: a test particle simulation and a N-body simulation, both evaluated when the bar is fully formed. In both cases, the results are robust and consistent. We then use these outcomes to calibrate a classical dynamical model and compute related structures, such as equilibrium points and invariant manifolds, which we verify align with the galaxy’s spiral arms.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108923"},"PeriodicalIF":3.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive-triggered H∞ sliding-mode optimal control for nonlinear input-limited systems","authors":"Hongxu Zhang, Honggui Wang","doi":"10.1016/j.cnsns.2025.108933","DOIUrl":"10.1016/j.cnsns.2025.108933","url":null,"abstract":"<div><div>This paper concentrates on the <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> sliding mode optimal control (SMOC) problem for nonlinear systems with mismatched interference and constrained input. Firstly, an adaptive-triggered strategy for the discontinuous control part is employed, which can suppress input interference and the separated matched disturbances. Also, the system trajectories are guaranteed to converge to the sliding manifold. Moreover, the adaptive-triggered strategy is optimized into self-triggered strategy with the aim to avoid the real-time measurement of triggered conditions, and the minimum time interval is obtained to prevent Zeno phenomenon. Subsequently, the optimal <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> control problem of sliding motion turns into a two-person ZS game issue. To derive the solutions of event-trigger HJI equation, an adaptive dynamic programming (ADP) algorithm with critic-only structure is implemented to obtain the optimal control online. Furthermore, by utilizing the Lyapunov technique, the uniformly ultimately bounded (UUB) conditions about system state and the weight estimation error are obtained. At last, simulation outcomes are analyzed to validate the effectiveness of the control strategy.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108933"},"PeriodicalIF":3.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Jensen-distance rate for stationary time series based on cross-spectral methods","authors":"Javier E. Contreras-Reyes","doi":"10.1016/j.cnsns.2025.108926","DOIUrl":"10.1016/j.cnsns.2025.108926","url":null,"abstract":"<div><div>Entropy and mutual information rates are key concepts in information theory that measure the average uncertainty and statistical dependence growth between two stochastic processes, respectively. This paper introduces a distance rate measure for discrepancy growth between two stationary processes, termed the Jensen-distance rate (JDR), which is based on spectral and cross-spectral densities. I examine fractional noise as a specific case of a weakly stationary process, where the asymptotic JDR is computed, and numerical results demonstrate the method’s performance. Additionally, I propose a JDR estimator based on the Blackman–Tukey spectral estimator for samples. Finally, an application to an ozone monitoring network showcases the estimated JDR for time series data, highlighting the practical utility of the proposed distance rate in time series analysis, including maximum/minimum concentrations and intra-daily seasonality.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108926"},"PeriodicalIF":3.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the convergence of an inertial proximal algorithm with a Tikhonov regularization term","authors":"Szilárd Csaba László","doi":"10.1016/j.cnsns.2025.108924","DOIUrl":"10.1016/j.cnsns.2025.108924","url":null,"abstract":"<div><div>This paper deals with an inertial proximal algorithm that contains a Tikhonov regularization term, in connection to the minimization problem of a convex lower semicontinuous function <span><math><mi>f</mi></math></span>. We show that for appropriate Tikhonov regularization parameters the value of the objective function in the sequences generated by our algorithm converge fast (with arbitrary rate) to the global minimum of the objective function and the generated sequences converge weakly to a minimizer of the objective function. We also obtain the fast convergence of subgradients and the discrete velocities towards zero and some sum estimates. Further, we obtain strong convergence results for the generated sequences and also fast convergence for the function values and discrete velocities for the same constellation of the parameters involved. Our analysis reveals that the extrapolation coefficient, the stepsize and the Tikhonov regularization coefficient are strongly correlated and there is a critical setting of the parameters that separates the cases when strong convergence results or weak convergence results can be obtained.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108924"},"PeriodicalIF":3.4,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Graph limit and exponential consensus for the large-scale multi-agent system with delay","authors":"Rundong Zhao, Yicheng Liu, Xiao Wang","doi":"10.1016/j.cnsns.2025.108919","DOIUrl":"10.1016/j.cnsns.2025.108919","url":null,"abstract":"<div><div>This is a classical problem in mathematical physics to describe the dynamics of large-scale multi-agent systems. In this paper, we propose a limit graphon integral-differential system with a weight feature of graphon to represent a large-scale second-order delay multi-agent system, where the time delay represents transmission time lags. We first study the well-posedness, stability, and regularity of the limit system. When the number of agents tends to infinity, we prove that the delay multi-agent system strongly converges to the delay graphon limit system. Then, by utilizing the novel perturbed energy function and delayed matrix exponential estimate methods, we give sufficient conditions for the exponential convergence consensus of the delay graphon limit system. Numerical simulation examples are given to illustrate our results.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108919"},"PeriodicalIF":3.4,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Euler–Maruyama scheme for delay-type stochastic McKean–Vlasov equations driven by fractional Brownian motion","authors":"Shuaibin Gao , Qian Guo , Zhuoqi Liu , Chenggui Yuan","doi":"10.1016/j.cnsns.2025.108927","DOIUrl":"10.1016/j.cnsns.2025.108927","url":null,"abstract":"<div><div>This paper focuses on the Euler–Maruyama (EM) scheme for delay-type stochastic McKean–Vlasov equations (DSMVEs) driven by fractional Brownian motion with Hurst parameter <span><math><mrow><mi>H</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>)</mo></mrow><mo>∪</mo><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. The existence and uniqueness of the solutions to such DSMVEs whose drift coefficients contain polynomial delay terms are proved by exploiting the Banach fixed point theorem. Then the propagation of chaos between interacting particle system and non-interacting system in <span><math><msup><mrow><mi>L</mi></mrow><mrow><mi>p</mi></mrow></msup></math></span> sense is shown. We find that even if the delay term satisfies the polynomial growth condition, the unmodified classical EM scheme still can approximate the corresponding interacting particle system without the particle corruption. The convergence rates are revealed for <span><math><mrow><mi>H</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>)</mo></mrow><mo>∪</mo><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. Finally, as an example that closely fits the original equation, a stochastic opinion dynamics model with both extrinsic memory and intrinsic memory is simulated to illustrate the plausibility of the theoretical result.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108927"},"PeriodicalIF":3.4,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bifurcation control for the collective behavior of delayed-coupled agents via PD controller","authors":"Yongjian Zhou, Tao Wang, Xingguang Peng","doi":"10.1016/j.cnsns.2025.108921","DOIUrl":"10.1016/j.cnsns.2025.108921","url":null,"abstract":"<div><div>How to design control algorithms to effectively regulate the collective behavior with sensing delay remains a formidable challenge. In this paper, we propose to use bifurcation control with PD controller to regulate the collective behavior under sensing delay. The controlled system exhibits the emergence of three distinct states. Bifurcation analysis reveals that the Hopf bifurcation and pitchfork bifurcation curves in the parameter space can be effectively manipulated by selecting the appropriate parameters, thereby enabling state transitions within the system. Furthermore, our findings suggest that the PD controller can influence the convergence rate towards the desired system state. Theoretical properties of these three states, in relation to physical parameters, are theoretically derived, and particle simulations are conducted to validate these theoretical findings.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"149 ","pages":"Article 108921"},"PeriodicalIF":3.4,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}