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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。
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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 3.8 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
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
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
Envelope bursting waves and exotic solitons in the network of N- elastically rotating pendulums with smooth and discontinuous nonlinearities coupled in the transverse direction 横向耦合光滑不连续非线性的N弹性旋转摆网络中的包络爆破波和奇异孤子
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-12 DOI: 10.1016/j.cnsns.2026.109728
Fabien Kenmogne , Martine Limi Wokwenmendam , Joël Bruno Gonpe Tafo , Michael Jordan Tsokou Noumeyi , Désiré Ndjanfang
The possible propagation of envelope waves in a network of N elastically rotating pendulums, featuring both smooth and discontinuous nonlinearities and coupled in the transverse direction, is investigated in this paper. Using the Lagrange formulation, the set of irrational equations describing the network is derived and subsequently reduced, via the continuum medium approximation, to the irrational extended sine-Gordon equation, which extends the basic sine-Gordon equation by incorporating additional nonlinear irrational terms as well as nonlinear derivative terms in space. These irrational terms are responsible for the emergence of a new envelope signal in the form of bursting waves. The solutions of the network equation are analyzed through phase portrait bifurcation and the stability of equilibrium points, revealing the existence of vertical homoclinic orbits that predict compact-like kink solutions. Some exact expressions of these solutions are obtained for specific parameter ranges, including envelope kink and periodic solitons, while for other cases, the compact-like kink solitons and additional solutions are approximated as trigonometric functions of a specific function expanded in a power series.
本文研究了包络波在具有光滑非线性和不连续非线性并在横向耦合的N个弹性旋转摆网络中的可能传播。使用拉格朗日公式,推导出描述网络的一组非理性方程,并随后通过连续介质近似将其简化为非理性扩展正弦-戈登方程,该方程通过在空间中加入额外的非线性非理性项以及非线性导数项来扩展基本正弦-戈登方程。这些不合理的术语导致了以爆发波形式出现的新包络信号。通过相画像分岔和平衡点的稳定性分析了网络方程的解,揭示了垂直同斜轨道的存在性,可以预测类紧扭结解。在包络结孤子和周期孤子的特定参数范围内,得到了这些解的精确表达式,而在其他情况下,将类紧结孤子及其附加解近似为一个特定函数展开成幂级数的三角函数。
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引用次数: 0
H∞ quantized control for interval type-2 fuzzy systems under dual-channel event triggering [公式略]区间2型模糊系统双通道事件触发下的量化控制
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-12 DOI: 10.1016/j.cnsns.2026.109747
Fan Xiao , Bo Wu , Xisheng Zhan , Lingli Cheng , Huaicheng Yan
This article investigates the problem of quantized H dynamic output feedback control for discrete-time nonlinear systems with dual-channel event triggering. Firstly, an interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy model is adopted to describe the nonlinear dynamics of the plant. Then, uniform dynamic quantizers and improved event-triggered mechanisms are introduced into the communication network to reduce the number of network packets and efficiently allocate limited communication resources. This paper aims to design an IT2 fuzzy dynamic output feedback controller, such that the asymptotic stability and H performance of the closed-loop systems can be guaranteed under dual-channel event triggering and quantization. Moreover, all design parameters can be calculated through a set of linear matrix inequalities. Finally, a simulation example is presented to verify the effectiveness of the proposed method.
研究了具有双通道事件触发的离散非线性系统的量化H∞动态输出反馈控制问题。首先,采用区间type-2 (IT2) Takagi-Sugeno (T-S)模糊模型来描述植物的非线性动力学。然后,在通信网络中引入统一的动态量化和改进的事件触发机制,以减少网络数据包的数量,有效地分配有限的通信资源。本文旨在设计一种IT2模糊动态输出反馈控制器,以保证闭环系统在双通道事件触发和量化下的渐近稳定性和H∞性能。此外,所有的设计参数都可以通过一组线性矩阵不等式来计算。最后,通过仿真算例验证了所提方法的有效性。
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引用次数: 0
Intermittent fixed-time stability analysis for nonlinear systems and application to synchronization in spatiotemporal networks 非线性系统的间歇定时稳定性分析及其在时空网络同步中的应用
IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2026-01-12 DOI: 10.1016/j.cnsns.2026.109732
Shanshan Li , Lifei Wang , Huaiqin Wu , Jinde Cao
This paper focuses on the fixed-time synchronization (FXS) of spatiotemporal networks (STNs) with Robin boundary condition by designing an intermittent event-triggered control scheme. Firstly, a new criterion with respect to the intermittent fixed-time stability, is established for nonlinear systems. Secondly, an intermittent dynamic event-triggered boundary controller is designed to achieve the FXS for the considered STNs. Meanwhile, a continuous function with the lower bound is introduced to avoid the Zeno behavior for the designed event-triggered mechanism. By applying the Lyapunov functional method, inequality analysis technique and the proposed fixed-time stability criterion, the FXS condition is addressed in terms of linear matrix inequalities (LMIs). In addition, the settling-time (ST), which is irrelative to the initial value of network systems, is estimated exactly. Finally, a simulation example and an application in the image encryption are performed to verify the validity of the theoretical analysis.
本文通过设计一种间歇事件触发控制方案,研究具有Robin边界条件的时空网络(STNs)的定时同步问题。首先,对非线性系统建立了一个新的间歇定时稳定性判据。其次,设计了一个间歇动态事件触发边界控制器来实现所考虑的stn的FXS。同时,为避免所设计的事件触发机制的芝诺行为,引入了具有下界的连续函数。利用Lyapunov泛函方法、不等式分析技术和所提出的定时稳定性判据,从线性矩阵不等式(lmi)的角度解决了FXS条件。此外,还准确估计了与网络系统初始值无关的沉降时间(ST)。最后,通过仿真算例和在图像加密中的应用验证了理论分析的有效性。
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引用次数: 0
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Communications in Nonlinear Science and Numerical Simulation
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