基于分数阶全变差和自适应正则化参数的图像去模糊

为更好地复原图像的纹理细节,避免求解图像去模糊模型时面临正则化参数难以选择的问题,提出了一种基于分数阶全变差（FOTV）模型和自适应更新正则化参数的非盲去模糊图像重建方法。首先,在分析不同分数阶下FOTV的幅频响应特性的基础上,采用不同分数阶次的FOTV模型约束图像的平滑（低频）部分和纹理细节（高频）部分,从而建立图像非盲去模糊重建模型。其次,为了有效地求解重建模型和实现两个正则化参数的自适应更新,采用交替方向乘子法(ADMM)将原本含有两个正则化参数的复杂问题分解成两个相对容易的子问题进行求解,每个子问题只含一个正则化参数。最后,根据偏差准则,在迭代求解过程中实现了两个正则化参数的自适应更新。将所提算法应用于包含平滑、边缘和纹理细节的多幅图像中,测试4种不同模糊核下的去模糊效果;与传统的4种去模糊算法相比,实验结果表明所提算法能自适应地更新两个正则化参数,对于纹理细节适中的图像具有较好的去模糊效果。     

一种分数阶忆阻器的Verilog-A模型及应用

近年来,科研人员为研究忆阻器的电气特性及其在电路中的应用,建立了多种整数阶忆阻器的Verilog-A模型,但分数阶忆阻器的Verilog-A模型还未见报道.文章提出了一种分数阶忆阻器的Verilog-A模型,对其相关特性进行了分析,总结了参数对忆阻器电气特性影响的规律,并将此模型应用于脉冲宽度调制(PWM)电路中,通过...     

New state-space approach and its application in thermoelasticity

In this work, a new state-space approach in the context of fractional-order theory of thermoelasticity is introduced. This new method utilizes the diagonalization of a square matrix by the use of its eigenvalues and vectors. This new approach is applied to a 1-D problem for a half-space subjected to a thermal shock. Laplace transform technique is used throughout. The inversion of the transforms is performed using a numerical inversion technique based on the Fourier series expansion technique. The effects of the time and the fractional parameter on variable field distributions are discussed and represented graphically.     

Observer-based quasi-containment of fractional-order multi-agent systems via event-triggered strategy

This paper is devoted to the quasi-containment control problem of fractional-order multi-agent systems (FOMASs). First, to reduce the frequency of communications, a novel observer-based event-triggered control mechanism which only relies on the information at the trigger-time is proposed. And then, by applying the theory of algebraic graph, matrix and fractional-order calculus, some sufficient consensus conditions based on the linear matrix inequality are established for achieving the consensus of FOMASs. In addition, the strict positive lower bound on the inter-event interval is obtained, which implies that the system is free from the Zeno behaviour. Finally, several simulation examples are presented to demonstrate the effectiveness of the theoretical results.     

Generalised exponential consensus of the fractional-order nonlinear multi-agent systems via event-triggered control

In this paper, the leader-following consensus problem of the fractional-order nonlinear multi-agent systems via event-triggered control is considered. An effective event-triggered controller is designed and then generalised exponential consensus of the controlled multi-agent systems is studied in the sense of Mittag-Leffler stability of fractional-order systems. The event-triggering function design is dependent on the parameter of the system structure and the minimum inter-event interval can be flexibly adjusted with different fractional-order α. With the event-triggered control scheme, the consensus condition is obtained and the convergence rate of the system is estimated. Numerical simulation indicates the effectiveness of the theoretical results.     

汽车非线性主动悬架系统的分数阶模糊控制

针对非线性主动悬架系统的控制问题,提出一种分数阶模糊控制方法。该方法采用分数阶微分信号作为模糊控制器输入,并根据悬架系统综合性能指标函数最小准则获得分数阶次。仿真结果表明：相比整数阶的模糊控制情形,即使车辆在不同车速和不同等级道路的行驶工况下,该分数阶模糊控制方法可以使得非线性悬架系统能够获得更优的控制效果,能进一步降低车身垂直振动加速度、动行程及轮胎形变,有效提高车辆的行驶平顺性和操纵稳定性。     

基于分数阶广义积分器的电网同步技术

前置滤波结构的锁相环(PLL)是研究电网同步技术的强有力工具.但二阶广义积分器型PLL、复数滤波器型PLL等常用PLL的动态性能因前级结构的截止频率偏低而受到制约.为此,本文提出一种基于分数阶广义积分器的三相PLL技术.该PLL的前级滤波结构由分数阶积分器构成,能够生成两个相位差为45°的斜交信号,经过相关线性运算,可从该对斜交信号中提取出电网电压的正负序分量.结合后级的同步旋转坐标系PLL,建立整个PLL系统的数学模型,并利用三阶最佳设计法对系统进行了校正,确定相关控制参数.研究发现,分数阶广义积分器的截止频率明显高于二阶广义积分器,有利于改善PLL系统的动态品质.仿真和实验结果表明,相比多重二阶广义积分器型PLL,所提PLL的动态性能更佳.     

一类分数阶非线性时滞系统的稳定性与镇定（英）

稳定性是控制系统分析与设计的基础．探索分数阶系统,特别是分数阶时滞非线性系统的稳定性条件是控制理论与工程领域中的难点问题．本文研究了一类分数阶非线性时滞系统的稳定性和镇定．通过将原系统转化成等价的分数阶积分系统,再借助不等式放缩技术,提出了一个有效且形式简单的确保该类系统稳定新的时滞无关稳定性准则．根据所得的稳定条件,提出了基于时滞线性反馈控制器的镇定控制方法．最后,数值实例验证了所得结果的有效性．此外,本文所使用的方法可以推广和应用于其他类型的分数阶系统的稳定性和镇定控制．     

Intelligent Networks for Chaotic Fractional-Order Nonlinear Financial Model

The purpose of this paper is to present a numerical approach based on the artificial neural networks (ANNs) for solving a novel fractional chaotic financial model that represents the effect of memory and chaos in the presented system. The method is constructed with the combination of the ANNs along with the Levenberg-Marquardt backpropagation (LMB), named the ANNs-LMB. This technique is tested for solving the novel problem for three cases of the fractional-order values and the obtained results are compared with the reference solution. Fifteen numbers neurons have been used to solve the fractional-order chaotic financial model. The selection of the data to solve the fractional-order chaotic financial model are selected as 75% for training, 10% for testing, and 15% for certification. The results indicate that the presented approximate solutions fit exactly with the reference solution and the method is effective and precise. The obtained results are testified to reduce the mean square error (MSE) for solving the fractional model and verified through the various measures including correlation, MSE, regression histogram of the errors, and state transition (ST).     

绳驱动空中机械臂的自适应分数阶终端滑模控制

针对集总干扰下绳驱动空中机械臂关节空间内高精度轨迹跟踪控制问题,提出了一种基于时延估计技术的自适应鲁棒控制策略。在控制框架中,引入时延估计技术来补偿系统未建模特性、外界扰动及动力学耦合效应;采用分数阶非奇异终端滑模面来加快系统状态量的收敛速度和保证轨迹跟踪控制的精度;添加自适应律来增加控制器的鲁棒性。同时,基于李雅普诺夫稳定性理论分析了闭环系统的稳定性。最后,通过可视化仿真和地面试验对本文所设计控制器的有效性进行了验证,结果表明：与其他两种控制器相比,本文控制器具有较高的轨迹跟踪精度、较好的鲁棒性和较强的抗干扰能力。