原子力显微镜的分数阶PID控制设计

原子力显微镜(AFM)是测量材料物体表面形貌的重要工具.为了实现AFM的高速扫描成像,设计一种基于分数阶前馈-反馈PID控制算法的AFM扫描成像控制器.将分数阶迭代学习控制(FOILC)用于前馈回路,在跟踪过程中对当前周期的误差信息进行学习,实现输出沿迭代轴的快速收敛;在反馈回路中采用分数阶比例积分(FOPI)控制增加...     

Image encryption using linear weighted fractional-order transform

As the linear weighted fractional-order Fourier transform (LWFRFT), an extension of the Fourier transform, has been widely studied, many linear weighted fractional-order transforms (LWFRTs) have been proposed consequently. Our research shows that the LWFRT has limitations when applied to image encryption. For example, its application to image encryption leads to the security risks of key invalidation. In this paper, we propose a new reformulation of the LWFRT which establishes the relation between many fractional-order transforms. With the help of the new reformulation, we point out the limitations of the LWFRT and analyze the reasons for key invalidation in image encryption. Finally, numerical simulation verifies our perspective.     

含有有色噪声的非线性分数阶系统自适应扩展卡尔曼滤波器

研究了含有未知参数的情况下，分别含有分数阶有色过程噪声和有色测量噪声的连续时间非线性分数阶系统状态估计问题.采用Grünwald-Letnikov （G-L）差分方法和1阶泰勒展开公式，对描述连续时间非线性分数阶系统的状态方程进行离散化和线性化.构造由状态量、未知参数和分数阶有色噪声的增广向量，设计自适应分数阶扩展卡尔曼滤波算法实现对有色噪声情况下的连续时间非线性分数阶系统的状态和参数的估计.最后，通过分析两个仿真实例，验证了提出算法的有效性.     

Total fractional-order variation regularization based image reconstruction method for capacitively coupled electrical resistance tomography

Compared with electrical resistance tomography, capacitively coupled electrical resistance tomography (CCERT) is preferred since it avoids problems of electrode corrosion and electrode polarization. However, reconstruction of conductivity distribution is still a great challenge for CCERT. To improve reconstruction quality, this work proposes a novel image reconstruction method based on total fractional-order variation regularization. Simulation work is conducted and reconstruction of several typical models is studied. Robustness of the proposed method to noise is also conducted. Additionally, the performance of the proposed reconstruction method is quantitatively evaluated. We have also carried out phantom experiment to further verify the effectiveness of the proposed method. The results demonstrate that the quality of reconstruction has been largely improved when compared with the images reconstructed by Landweber, Newton-Raphson and Tikhonov methods. The inclusion is more accurately reconstructed and the background is much clearer even under the impact of noise.     

Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities

In this research work, a novel fuzzy adaptive control is proposed to achieve a projective synchronization for a class of fractional-order chaotic systems with input nonlinearities (dead-zone together with sector nonlinearities). These master-slave systems under consideration are supposed to be with distinct models, different fractional-orders, unknown models, and dynamic external disturbances. The proposed control law consists of two main terms, namely: a fuzzy adaptive control term for appropriately approximating the uncertainties and a fractional-order variable-structure control term for robustly dealing with these inherent input nonlinearities. A Lyapunov approach is used to derive the updated laws and to prove the stability of the closed-loop control system. At last, a set of computer simulation results is carried out to illustrate and further validate the theoretical findings.     

基于Melnikov方法的分数阶Duffing振子混沌阈值解析研究

研究了含有分数阶微分项的Duffing振子的分岔与混沌行为,利用等效刚度和等效阻尼的概念对分数阶微分项进行处理,将分数阶微分项等效成三角函数与指数函数的形式,用Melnikov方法分析了分数阶Duffing振子产生分岔与混沌的必要条件,得到了其解析结果。进行了解析解和数值解的比较,证明了解析结果的精确度,并通过仿真计算研究了分数阶的阶次和系数对系统产生混沌必要条件的影响。在数值模拟过程中,还发现分数阶Duffing振子中存在双稳态特性,从两个稳态解出发,随着外激励参数的变化都能通过倍周期分岔到达混沌的状态。通过分析系统的动力学响应验证了这一现象。     

New Fuzzy Fractional Epidemic Model Involving Death Population

In this research, we propose a new change in classical epidemic models by including the change in the rate of death in the overall population. The existing models like Susceptible-Infected-Recovered (SIR) and Susceptible-Infected-Recovered-Susceptible (SIRS) include the death rate as one of the parameters to estimate the change in susceptible, infected and recovered populations. Actually, because of the deficiencies in immunity, even the ordinary flu could cause death. If people’s disease resistance is strong, then serious diseases may not result in mortalities. The classical model always assumes a closed system where there is no new birth or death, no immigration or emigration, while in reality, such assumptions are not realistic. Moreover, the classical epidemic model does not report the change in population due to death caused by a disease. With this study, we try to incorporate the rate of change in the population of death caused by a disease, where the model is framed to reduce the curve of death along with the susceptible and infected populations. Since the rate of change turned out to be very small, we have tried to estimate it fractionally. Thus, the model is defined using fuzzy logic and is solved by two different methods: a Laplace Adomian decomposition method (LADM) and a differential transform method (DTM) for an arbitrary order α. To test its accuracy, we compared the results of both DTM and LADM with the fourth-order Runge-Kutta method (RKM-4) at α = 1.     

Observation and sliding mode observer for nonlinear fractional-order system with unknown input

The main purpose of this paper is twofold. First, the observability and the left invertibility properties and the observable canonical form for nonlinear fractional-order systems are introduced. By using a transformation, we show that these properties can be deduced from an equivalent nonlinear integer-order system. Second, a step by step sliding mode observer for fault detection and estimation in nonlinear fractional-order systems is proposed. Starting with a chained fractional-order integrators form, a step by step first-order sliding mode observer is designed. The finite time convergence of the observer is established by using Lyapunov stability theory. A numerical example is given to illustrate the performance of the proposed approach.     

降低整数阶无线电能传输谐振频率的分数阶方法

针对谐振无线电能传输谐振频率高而电力电子器件目前较难实现高频大功率开关变换器的问题,提出一种基于分数阶原理降低无线电能传输谐振频率的方法,建立SS型分数阶无线电能传输系统的电路模型,推导其输出功率和传输效率的表达式,通过Matlab数值仿真分析分数阶元件的阶数对谐振无线电能传输参数及特性的影响。研究结果表明,采用分数阶电感、电容元件,可以大幅度降低谐振无线电能传输系统的谐振频率,从而降低开关器件的开关频率,且可以输出比整数阶无线电能传输系统更大的功率。     

基于分数阶滑模控制的高精度印刷机纠偏系统研究

目的 解决卷对卷印刷收卷不齐的问题，提高收卷精度。方法 对印刷机收卷纠偏原理进行分析，建立收卷纠偏系统数学模型，提出基于分数阶滑模控制的纠偏算法，分析其稳定性。在不同收卷线速度、不同跑偏干扰输入信号的条件下进行仿真。搭建收卷纠偏实验平台，对2种控制方法进行收卷纠偏控制实验。结果 仿真结果表明，分数阶滑模控制器比传统PID控制器具有较好的动态性能和稳态性能。实验结果表明，分数阶滑模控制算法比传统PID控制具有更高的纠偏精度。结论 分数阶滑模控制算法可以有效提高印刷机收卷纠偏精度，满足高精度印刷要求。