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Implicit-explicit time discretization with complex time for parabolic equations 抛物型方程的复时间隐显时间离散化
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-15 DOI: 10.1016/j.cnsns.2026.109743
Henghui Tang, Daopeng Yin, Xiaohao Zhang, Liquan Mei
This paper presents a novel high-order time discretization scheme on the time complex plane for parabolic equations. The innovation of this method lies in its ability to straightforwardly construct temporal discretization schemes of arbitrary order while achieving stability comparable to explicit Runge-Kutta methods, and simultaneously enhancing computational efficiency without compromising stability. By employing a matrix construction method, we unify the characterization of the stability region for both ordinary differential equations and partial differential equations. We prove the L2 stability and arbitrary-order convergence of the method. Numerical experiments demonstrate that, compared to explicit Runge-Kutta methods, the proposed scheme improves computational efficiency. This method offers an efficient and accurate solution for applications with stringent precision.
提出了抛物型方程在时间复平面上的一种新的高阶时间离散格式。该方法的创新之处在于能够直接构建任意阶的时间离散化格式,同时获得与显式龙格-库塔方法相当的稳定性,同时在不影响稳定性的情况下提高计算效率。利用矩阵构造的方法,统一了常微分方程和偏微分方程稳定域的表征。证明了该方法的L2稳定性和任意阶收敛性。数值实验表明,与显式龙格-库塔方法相比,该方法提高了计算效率。该方法为精度要求高的应用提供了高效、准确的解决方案。
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引用次数: 0
Synchronized stationary distribution of Markovian switching stochastic delayed signed networks with application to Chua’s circuits 马尔可夫切换随机延迟签名网络的同步平稳分布及其在蔡氏电路中的应用
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-15 DOI: 10.1016/j.cnsns.2026.109730
Huihui Song , Zezhou Fan , Yitong Liu , Xin Zhang
This paper investigates the inner synchronized stationary distribution of delayed signed networks with Markovian switching (DMSNs) by investigating convergence and uniform boundedness of the solution of the error system. The Lyapunov method and the signed digraph theory are applied to investigating the existence of stationary distribution, which avoids the difficulty of constructing the Lyapunov function construction directly. Then two synchronized stationary distribution criteria which ensure DMSNs exist stationary distribution are presented. Finally, the proposed theoretical results are applied to Chua’s circuit, and through corresponding numerical simulations, the validity of the theoretical results is verified.
通过研究误差系统解的收敛性和一致有界性,研究了具有马尔可夫交换的延迟签名网络的内同步平稳分布。利用Lyapunov方法和有符号有向图理论研究平稳分布的存在性,避免了直接构造Lyapunov函数的困难。在此基础上,给出了保证dmsn存在平稳分布的两个同步平稳分布准则。最后,将所提出的理论结果应用于蔡氏电路,并通过相应的数值模拟验证了理论结果的有效性。
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引用次数: 0
Almost surely exponential stability of nonlinear stochastic systems with random impulses and its application in chaos synchronization 具有随机脉冲的非线性随机系统的指数稳定性及其在混沌同步中的应用
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-14 DOI: 10.1016/j.cnsns.2026.109664
Zenghui Hu , Jiamin Liu , Yiming Wang , Lijie You
The almost surely exponential stability (ES a.s.) is investigated for nonlinear systems subject to the effects of stochastic noises and random impulses. The randomness of impulsive effects is considered in two aspects: impulsive intensity and density. In detail, the impulsive instants and jumps are respectively impelled by a renewal process and a Markov chain. By analyzing the coupling effect among stochastic noise, randomly impulsive intensity and density, novel criteria of ES a.s. are obtained by employing Lyapunov-based approach. The proposed results not only capture the positive effect of stochastic noise, but also remove the non-zero property of solution required in existing works. As an application, the synchronization problem of master-slave stochastic chaotic systems is solved by applying the randomly impulsive control method. Two examples are provided to illustrate the effectiveness and application of the proposed results.
研究了受随机噪声和随机脉冲影响的非线性系统的指数稳定性。从脉冲强度和脉冲密度两个方面考虑脉冲效应的随机性。脉冲瞬间和跳跃分别由更新过程和马尔可夫链驱动。通过分析随机噪声、随机脉冲强度和密度之间的耦合效应,采用基于李雅普诺夫的方法得到了新的ES as准则。所提出的结果不仅捕获了随机噪声的积极影响,而且消除了现有工作中要求的解的非零性质。作为应用,采用随机脉冲控制方法解决主从随机混沌系统的同步问题。给出了两个实例来说明所提结果的有效性和应用。
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引用次数: 0
Fuzzy observer design for positive T-S fuzzy systems 正T-S模糊系统的模糊观测器设计
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-13 DOI: 10.1016/j.cnsns.2026.109698
Jing Wang, Likui Wang, Qianling Wang
This paper investigates the problem of observer design for positive T-S fuzzy systems. Two methods are provided to design the observer. First, the augmented system matrices are divided into blocks, and the observer is designed by using these blocks with a switching strategy. Then, for a special case that output system matrices are the same, less conservative design conditions are obtained by applying singular value decomposition (SVD) and second-order forms of the system states. Finally, the relationship of the two methods is discussed and two examples are given to verify the effectiveness of the results in this paper.
研究正T-S模糊系统的观测器设计问题。给出了两种设计观测器的方法。首先,将增广系统矩阵划分为若干块,利用这些块设计观测器并采用切换策略。然后,对于输出系统矩阵相同的特殊情况,应用奇异值分解(SVD)和系统状态的二阶形式,得到保守性较小的设计条件。最后,讨论了两种方法的关系,并给出了两个算例,验证了本文结果的有效性。
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引用次数: 0
Analysis and boundary control of subcutaneous insulin kinetics PDE model for type one diabetes 1型糖尿病皮下胰岛素动力学PDE模型分析及边界控制
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-13 DOI: 10.1016/j.cnsns.2026.109722
Luis T. Aguilar
In this paper, we analyze the stability of an open-loop subcutaneous insulin kinetics model for type 1 diabetes. The contribution of the proposed study relies on developing a semi-autonomous strategy for delivering insulin in the body, minimizing the risks of overdoses. The model comprises a pair of nonlinear partial differential equations (PDEs): one representing hexameric insulin and the other modeling dimeric insulin. We investigate the solutions and the stability properties of both the local and global models. Additionally, we propose a boundary control strategy for the system. The stability analysis is conducted within the framework of Lyapunov functions, and the theoretical findings are further validated through simulation results.
在本文中,我们分析了1型糖尿病的开环皮下胰岛素动力学模型的稳定性。这项研究的贡献在于开发一种半自主的胰岛素输送策略,将过量服用的风险降至最低。该模型由一对非线性偏微分方程(PDEs)组成:一个代表六聚体胰岛素,另一个代表二聚体胰岛素。我们研究了局部和全局模型的解和稳定性性质。此外,我们还提出了系统的边界控制策略。在Lyapunov函数框架内进行了稳定性分析,并通过仿真结果进一步验证了理论结果。
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引用次数: 0
Composite index-based stiffness optimization and deformation error compensation for a weak rigidity industrial robot 基于复合指标的弱刚性工业机器人刚度优化与变形误差补偿
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-12 DOI: 10.1016/j.cnsns.2026.109754
Wanjin Guo , Ru Li , Qianhui Li , Yuxiang Tian , Chuqing Cao , Lijun Zhao
In order to solve the issue of relatively noticeable end deformation due to the weak rigidity structures in a highly dexterous 3T2R industrial robot, a composite index-based method of quasi-static robot stiffness optimization and deformation error compensation is proposed. The proposed method aims to enhance the quasi-static stiffness performance and reduce the quasi-static end deformation for this weak rigidity industrial robot. First, structural characteristics of the weak rigidity industrial robot are analyzed, and a quasi-static robot stiffness model is established. Second, a quasi-static robot stiffness identification approach is presented, considering weakly rigid joint transmission chains and flexible rod of the studied robot. The effects of the weakly rigid joint transmission chains and the flexible rod on the robot end deformation are investigated. Quasi-static robot stiffness identification experiment is conducted to obtain the quasi-static stiffness of each joint of the studied robot. Third, a composite stiffness index is constructed by using a compliance ellipsoid, incorporating both quasi-static normal stiffness evaluation index and quasi-static plane stiffness evaluation index. And a composite index-based method of quasi-static robot stiffness optimization and deformation error compensation is proposed to minimize the quasi-static robot end deformation of the studied weak rigidity industrial robot. Finally, the effectiveness of the presented quasi-static robot stiffness identification approach, and the effectiveness of the proposed composite index-based method of quasi-static robot stiffness optimization and deformation error compensation, are validated experimentally. Experimental results indicate that the error rates between the measured comprehensive robot end deformations and the theoretical counterparts at 4 kg, 8 kg, and 16 kg quasi-static loads are 10.61%, 11.82%, and 8.89%, respectively. The comprehensive position deformation is reduced by 23.43% before and after the quasi-static robot stiffness optimization. After performing quasi-static robot end deformation error compensation for parallelogram, triangle, and rectilinear segment, the reduced comprehensive position deformations range from 28.61% to 81.61%.
针对高灵巧度3T2R工业机器人由于结构刚度弱导致末端变形比较明显的问题,提出了一种基于复合指标的准静态机器人刚度优化和变形误差补偿方法。提出的方法旨在提高弱刚性工业机器人的准静态刚度性能,减少准静态端部变形。首先,分析了弱刚性工业机器人的结构特点,建立了机器人准静态刚度模型。其次,考虑所研究机器人的弱刚性关节传动链和柔性杆,提出了一种准静态机器人刚度辨识方法。研究了弱刚性关节传动链和柔性杆对机器人末端变形的影响。进行机器人准静态刚度辨识实验,得到所研究机器人各关节的准静态刚度。第三,结合准静态法向刚度评价指标和准静态平面刚度评价指标,利用柔度椭球体构建复合刚度指标;针对所研究的弱刚性工业机器人,提出了一种基于复合指标的准静态机器人刚度优化和变形误差补偿方法,使准静态机器人端部变形最小。最后,通过实验验证了所提出的准静态机器人刚度辨识方法的有效性,以及基于复合指标的准静态机器人刚度优化与变形误差补偿方法的有效性。实验结果表明,在4 kg、8 kg和16 kg准静态载荷下,机器人综合变形的实测值与理论值的错误率分别为10.61%、11.82%和8.89%。准静态机器人刚度优化前后,综合位置变形减少了23.43%。对平行四边形、三角形和直线段进行准静态机器人端部变形误差补偿后,综合位置变形减小幅度为28.61% ~ 81.61%。
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引用次数: 0
ADP-based dynamic event-triggered fault-tolerant control for nonlinear systems with actuator failures and full-state time-varying constraints 具有执行器失效和全状态时变约束的非线性系统动态事件触发容错控制
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-12 DOI: 10.1016/j.cnsns.2026.109676
Chunbin Qin, Mingyu Pang, Zhongwei Wang, Suyang Hou, Qian Qiu
This paper aims to develop a novel adaptive dynamic programming (ADP) based fault-tolerant control (FTC) framework for nonlinear systems, which can effectively handle actuator failures and full-state time-varying constraints while reducing resource consumption through a dynamic event-triggered mechanism (DETM). In order to deal with full-state time-varying constrained problems, a novel control barrier function (CBF) has been proposed that transforms the original system into an unconstrained system. To address unknown faults in the actuator, a fault observer is proposed that compensates for the observed faults. In addition, a new DETM is designed, and optimal control rules can be approximated by constructing a single-critic neural network (NN). A prioritized experience replay strategy based on recency is integrated with the empirical replay technique to relax the persistent excitation (PE) condition so that the weights are updated with more attention to the most recent post-weighting data in the updating process. Lyapunov theory is used to ensure that the nonlinear system state and the critic NN weight are uniformly ultimately bounded (UUB). The effectiveness of the proposed method is verified through simulation results.
本文旨在开发一种基于自适应动态规划(ADP)的非线性系统容错控制(FTC)框架,该框架可以有效地处理执行器故障和全状态时变约束,同时通过动态事件触发机制(DETM)减少资源消耗。为了处理全状态时变约束问题,提出了一种新的控制障碍函数(CBF),将原系统转化为无约束系统。为了解决执行器中存在的未知故障,提出了故障观测器对观察到的故障进行补偿。在此基础上,设计了一种新的DETM模型,并通过构造一个单批评家神经网络来逼近最优控制规则。将基于近因性的优先体验重播策略与经验重播技术相结合,放宽持续激励(PE)条件,使权重更新更加关注更新过程中最近的加权后数据。利用李雅普诺夫理论保证了非线性系统状态和临界神经网络权值是一致最终有界的。仿真结果验证了该方法的有效性。
{"title":"ADP-based dynamic event-triggered fault-tolerant control for nonlinear systems with actuator failures and full-state time-varying constraints","authors":"Chunbin Qin,&nbsp;Mingyu Pang,&nbsp;Zhongwei Wang,&nbsp;Suyang Hou,&nbsp;Qian Qiu","doi":"10.1016/j.cnsns.2026.109676","DOIUrl":"10.1016/j.cnsns.2026.109676","url":null,"abstract":"<div><div>This paper aims to develop a novel adaptive dynamic programming (ADP) based fault-tolerant control (FTC) framework for nonlinear systems, which can effectively handle actuator failures and full-state time-varying constraints while reducing resource consumption through a dynamic event-triggered mechanism (DETM). In order to deal with full-state time-varying constrained problems, a novel control barrier function (CBF) has been proposed that transforms the original system into an unconstrained system. To address unknown faults in the actuator, a fault observer is proposed that compensates for the observed faults. In addition, a new DETM is designed, and optimal control rules can be approximated by constructing a single-critic neural network (NN). A prioritized experience replay strategy based on recency is integrated with the empirical replay technique to relax the persistent excitation (PE) condition so that the weights are updated with more attention to the most recent post-weighting data in the updating process. Lyapunov theory is used to ensure that the nonlinear system state and the critic NN weight are uniformly ultimately bounded (UUB). The effectiveness of the proposed method is verified through simulation results.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"157 ","pages":"Article 109676"},"PeriodicalIF":3.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957175","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}
引用次数: 0
Observer-based sliding mode control for discrete-time T-S fuzzy systems under Round-Robin protocol via a preview target mechanism 基于观测器的轮循协议下离散T-S模糊系统的滑模控制
IF 3.9 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-12 DOI: 10.1016/j.cnsns.2026.109710
Jinpeng Kuang, Yunfei Mu, Xianghui Qin, Yingchun Wang, Ruiwang Sun
This work focuses on the problem of observer-based preview sliding mode control (SMC) for discrete-time T-S fuzzy systems under Round-Robin (RR) protocol. For the phenomenon that the system is subject to RR protocol, a compensation strategy is proposed. A fuzzy observer is designed for original system. Meanwhile, an augmented system (AS) with discrete-time integrators and a previewable reference signal is developed, and then the tracking problem is transformed into the stability of ASs. A linear sliding surface and a preview SMC law are presented for ASs, which can guarantee the input-to-state stable (ISS) of the quasi-sliding motion and the reachability of the sliding region. Finally, the validity of the obtained theory is verified by an example.
研究了基于观测器的离散时间T-S模糊系统在轮询(RR)协议下的预估滑模控制问题。针对系统受RR协议约束的现象,提出了一种补偿策略。对原系统设计了模糊观测器。同时,建立了具有离散积分器和可预览参考信号的增广系统(AS),将跟踪问题转化为AS的稳定性问题,给出了AS的线性滑动面和可预览SMC律,保证了准滑动运动的输入到状态稳定(ISS)和滑动区域的可达性。最后,通过算例验证了所得理论的有效性。
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引用次数: 0
Adaptive simultaneous forecast orthogonal matching pursuit applied in underwater acoustic channel estimation 自适应同步预报正交匹配跟踪在水声信道估计中的应用
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-12 DOI: 10.1016/j.cnsns.2026.109752
Xiangwen Meng , Hao Wang , Fan Zou
In the realm of underwater acoustic communication, the multipath characteristic of the channel significantly reduces communication efficiency, so it is necessary to estimate the channel and then compensate for it. However, traditional estimation methods struggle to accurately estimate channels polluted by noise and require a significant number of pilot signals. Currently, Orthogonal matching pursuit (OMP) is widely used for channel estimation, but it is susceptible to noise interference and lacks self-adaptive sparsity. In underwater acoustic communication, the signal-to-noise ratio (SNR) is often low, and the actual sparsity is unknown, necessitating a more effective estimation method with self-adaptive sparsity. This paper proposes an adaptive simultaneous forecast orthogonal matching pursuit (ASFOMP) for estimating the underwater acoustic channel. ASFOMP, which is improved from OMP, incorporates a forecast step and a self-adaptation function. In the forecast step, the selection of the current tap is determined not only by the correlation between the residual and the atom at the present step, but also by predicting the residual magnitude over several subsequent iterations after selecting that atom. This mechanism helps prevent the erroneous selection of taps that may be influenced by noise or interference. In the self-adaptation function, the residual gradient directly reflects the gain effect of the current newly added tap on channel compensation. When the residual gradient is very small, it indicates that the main taps of the channel have been estimated. Therefore, using the residual gradient as an indicator for adaptive channel estimation can effectively solve the problem of unknown number of channel taps. In the Rayleigh channel case, when SNR is 10 dB, the channel error of ASFOMP is only -51.474 dB, and its BER is 4.218%, which is superior to other methods. Compared to OMP, it reduces the channel estimation error by 39.973 dB and decreases the BER by 0.277%. In the Bellhop-generated channel case, it also achieves performance gains, with channel error reduced by 35.393 dB, and corresponding BER reduction of 0.304%.
在水声通信领域中,信道的多径特性大大降低了通信效率,因此有必要对信道进行估计和补偿。然而,传统的估计方法难以准确估计受噪声污染的信道,并且需要大量的导频信号。目前,正交匹配跟踪(OMP)被广泛用于信道估计,但该方法易受噪声干扰且缺乏自适应稀疏性。在水声通信中,信噪比往往较低,实际稀疏度未知,需要一种更有效的自适应稀疏度估计方法。提出了一种用于水声信道估计的自适应同步预测正交匹配追踪方法。ASFOMP是在OMP的基础上改进而来,加入了预测步长和自适应函数。在预测步骤中,当前抽头的选择不仅取决于当前步骤中残差与原子之间的相关性,而且还取决于在选择该原子后的几个后续迭代中预测残差的大小。这种机制有助于防止可能受到噪声或干扰影响的抽头的错误选择。在自适应函数中,残差梯度直接反映了当前新增抽头对通道补偿的增益效应。当残差梯度很小时,表明通道的主抽头已经估计出来了。因此,利用残差梯度作为自适应信道估计的指标,可以有效地解决信道抽头数量未知的问题。在瑞利信道情况下,当信噪比为10dB时,ASFOMP的信道误差仅为-51.474dB,误码率为4.218%,优于其他方法。与OMP相比,信道估计误差降低了39.973dB,误码率降低了0.277%。在bellhop生成信道的情况下,也实现了性能提升,信道误差降低了35.393dB,相应的误码率降低了0.304%。
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引用次数: 0
Competitive flag pursuit with mutual repulsion in a multi-agent system on Riemannian Manifolds 黎曼流形上具有相互排斥的多智能体系统的竞旗追逐
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-12 DOI: 10.1016/j.cnsns.2026.109725
Hyunjin Ahn
We propose and analyze a multi-agent controlled system on Riemannian manifolds for the design of a competitive flag pursuit game. In this system, agents are subject to mutual repulsion forces while pursuing a given flag, with the goal of one agent successfully capturing the flag while the others fail. To achieve this, we first provide appropriate energy estimates for the mutual repulsion forces between agents using a Lyapunov-based approach. These estimates, along with various bounded estimates, are used to show that, under certain sufficient conditions, one agent can successfully capture the flag while the others are unable to do so. The primary objective of this work is to identify suitable admissible data, concerning initial data, system parameters, kernel functions, and the given flag (whether moving or fixed), that allow one agent to be arbitrarily chosen to win the game by capturing the flag, while ensuring the failure of all other agents.
我们提出并分析了一个基于黎曼流形的多智能体控制系统,用于设计一个竞速追旗博弈。在这个系统中,智能体在追逐给定的旗帜时受到相互的排斥力,目标是一个智能体成功捕获旗帜,而其他智能体失败。为了实现这一点,我们首先使用基于李亚普诺夫的方法为代理之间的相互排斥力提供适当的能量估计。这些估计以及各种有界估计用于表明,在某些充分条件下,一个代理可以成功捕获标志,而其他代理则无法这样做。这项工作的主要目标是识别合适的可接受数据,涉及初始数据、系统参数、内核函数和给定的标志(无论是移动的还是固定的),这些数据允许任意选择一个代理通过捕获标志来赢得游戏,同时确保所有其他代理失败。
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引用次数: 0
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Communications in Nonlinear Science and Numerical Simulation
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