RO PUF硬件物理指纹性能评估

入网设备的身份认证是工业互联网、物联网安全运行的基础.通过分析物理不可克隆函数(Physical Unclonable Function,PUF)作为入网设备的身份凭据应具有的特性,建立了其性能的多层指标体系.按照性能指标的重要性分为必要指标、重要指标和应用指标,对每项指标及其评估方法进行了说明,并给出了可用于PUF选...     

光纤CAN总线接口设计

基于CAN控制器SJAl000提出了光纤CAN(Fiber—CAN)总线网络的设计方案。采用光纤作为传输介质提高电动汽车CAN通信网抗干扰能力。详细分析了双绞线CAN(Wire—CAN)总线的接口协议，设计了基于此协议的Fiber—CAN总线接口电路和相应的接口驱动，以及光纤CAN总线和双绞线CAN总线间转换接口。通过3个节点的Fiber-CAN总线组网，验证了接口协议和接口电路设计的正确性。     

Pole placement controllers for linear time-delay systems with commensurate point delays

This paper investigates the exact and approximate spectrum assignment properties associated with realizable output-feedback pole-placement type controllers for single-input single-output linear time-invariant time-delay systems with commensurate point delays. The controller synthesis problem is discussed through the solvability of a set of coupled diophantine equations of polynomials. An extra complexity is incorporated to the above design to cancel extra unsuitable dynamics being generated when solving the above diophantine equations. Thus, the complete controller tracks any arbitrary prefixed (either finite or delaydependent) closed-loop spectrum. However, if the controller is simplified by deleting the above mentioned extra complexity, then the robust stability and approximated spectrum assignment are still achievable for a certain sufficiently small amount of delayed dynamics. Finally, the approximate spectrum assignment and robust stability problems are revisited under plant disturbances if the nominal controller is maintained. In the current approach, the finite spectrum assignment is only considered as a particular case to the designer‘s choice of a (delay-dependent) arbitrary spectrum assignment objective.     

Speeding up the FMMR perfect sampling algorithm: A case study revisited

In a previous paper by the second author, two Markov chain Monte Carlo perfect sampling algorithms—one called coupling from the past (CFTP) and the other (FMMR) based on rejection sampling—are compared using as a case study the move‐to‐front (MTF) self‐organizing list chain. Here we revisit that case study and, in particular, exploit the dependence of FMMR on the user‐chosen initial state. We give a stochastic monotonicity result for the running time of FMMR applied to MTF and thus identify the initial state that gives the stochastically smallest running time; by contrast, the initial state used in the previous study gives the stochastically largest running time. By changing from worst choice to best choice of initial state we achieve remarkable speedup of FMMR for MTF; for example, we reduce the running time (as measured in Markov chain steps) from exponential in the length n of the list nearly down to n when the items in the list are requested according to a geometric distribution. For this same example, the running time for CFTP grows exponentially in n. © 2003 Wiley Periodicals, Inc. Random Struct. Alg., 2003     

An Enhanced Full-Form Model-Free Adaptive Controller for SISO Discrete-Time Nonlinear Systems

This study focuses on the full-form model-free adaptive controller (FFMFAC) for SISO discrete-time nonlinear systems, and proposes enhanced FFMFAC. The proposed technique design incorporates long short-term memory neural networks (LSTMs) and fuzzy neural networks (FNNs). To be more precise, LSTMs are utilized to adjust vital parameters of the FFMFAC online. Additionally, due to the high nonlinear approximation capabilities of FNNs, pseudo gradient (PG) values of the controller are estimated online. EFFMFAC is characterized by utilizing the measured I/O data for the online training of all introduced neural networks and does not involve offline training and specific models of the controlled system. Finally, the rationality and superiority are verified by two simulations and a supporting ablation analysis. Five individual performance indices are given, and the experimental findings show that EFFMFAC outperforms all other methods. Especially compared with the FFMFAC, EFFMFAC reduces the RMSE by 21.69% and 11.21%, respectively, proving it to be applicable for SISO discrete-time nonlinear systems.     

挤压光纤式电动偏振控制器的设计与研究

论述了利用光纤应力双折射效应研制的挤压式光纤电动偏振控制器的工作原理,并进行了实验验证,分析了输出光偏振态在邦加球上的轨迹及相位延迟量与各通道电压的关系。     

基于模糊控制的PEMFC控制器设计

针对PEMFC严重的非线性、高耦合、多变量等特点,提出一种基于模糊控制的PEMFC控制器设计方案。采用AT89S52单片机为核心,使用总线式数字测温器件DS18B20作为温度传感器,运用风扇和双向晶闸管通过模糊控制技术控制。PEMFC的反应温度通过LCD实时监控,配备声光警报系统。并通过Proteus 7 Professional的仿真以及样机测试证明了模糊算法的优越性和电路的有效性。     

一种高性能共模反馈CMOS运算放大器

介绍了一种具有高增益,高电源抑制比(CMRR)和大带宽的两级共源共栅运算放大器。此电路在两级共源共栅运算放大器的基础上增加共模反馈电路,以提高共模抑制比和增加电路的稳定性。电路采用0.35μm标准CMOS工艺库,在Cadence环境下进行仿真。结果显示,该放大器增益可达到101 dB,负载电容为10 pF时,单位增益带宽大约为163 MHz,共模抑制比可达101dB,电路功耗仅为0.5 mW。     

电磁骚扰测量不确定度的评定

简要介绍了测量不确定度,阐述了不确定度A类评定和B类评定的方法和要素,以《测量不确定度的评定与表示（JJF1059-1999）》、《电磁干扰测量中不确定度的评定指南（CNAS-GL07：2006）》等文献为指导,识别出影响电磁骚扰测量结果不确定的输入量,建立评定模型,提出了辐射骚扰电场强度测量、电源端口传导骚扰测量、骚扰功率测量等电磁骚扰测量的不确定度评定方法和步骤,为电磁兼容检测实验室的测量不确定度分析提供了参考。     

基于迭代顺序滤波子空间约束的可拒识-支持向量机微钙化点检测

为提高钙化点检测速度,克服微钙化点检测中假阳性高的缺点,本文构造了一种迭代顺序滤波子空间约束的可拒识-支持向量机分类器用于钙化点检测.训练时利用迭代顺序滤波检测作为钙化点的粗检测算子,然后在其约束的子空间内收集非钙化点训练样本.对于输入模式,首先利用基于最大软间隔超平面的支持向量分类器(SVC)进行分类判决;然后对真实的钙化点样本特征空间求取最小的包含球形边界,得到钙化点样本的球形支持向量域表示(SVDD).对于输入模式即可利用钙化点的支持向量域表示进行拒识或接受处理.仿真实验结果表明,本文提出的算法在不影响微钙化点的检出率的情况下,大大提高了检测速度,部分解决了假阳性高的问题.