Optimal Terminal Iterative Learning Control for the Automatic Train Stop System

The train stop control is a typical set‐point control task, where only the final state (i.e., the terminal train stop position) is of concern and specified. For such a control problem, an optimal terminal iterative learning control (TILC) approach is presented in this paper, where the stopping position and initial braking speed are chosen as the terminal system output and the control input, respectively. The controller design only depends on the measured input/output (I/O) data without requiring any modeling information of the train operation system, and the learning gain is updated by the system I/O data iteratively to accommodate the system uncertainties. The monotonic convergence of the terminal tracking error is guaranteed by rigorous mathematical analysis. Extensive simulation results are provided to show the applicability and effectiveness of the proposed approach.     

Synchronization of Instantaneous Coupled Harmonic Oscillators With Communication and Input Delays

This paper investigates the synchronization issue of instantaneous coupled harmonic oscillators with communication and input delays. A distributed synchronization algorithm is proposed for such oscillator systems, and some general algebraic criteria on exponential convergence are established for the algorithm. The main contributions of the present investigations include: (i) the directed network topology is first considered in the case of instantaneous interaction; (ii) both the time‐varying communication and input delays are simultaneously addressed; (iii) the effects of communication and input delays on synchronization performance of coupled harmonic oscillators are discussed. It is shown the communication delays have a more important impact than the input delays on determining synchronization dynamics of coupled harmonic oscillators. Explicitly, in absence of communication delays, coupled harmonic oscillators can achieve synchronization oscillatory motion, whereas, so long as communication delays are nonzero at infinite multiple impulsive times, its synchronization (or consensus) state is zero. Finally, numerical examples demonstrate the obtained theoretical results.     

An online fault tolerant actor-critic neuro-control for a class of nonlinear systems using neural network HJB approach

In this paper, we propose an actor-critic neuro-control for a class of continuous-time nonlinear systems under nonlinear abrupt faults, which is combined with an adaptive fault diagnosis observer (AFDO). Together with its estimation laws, an AFDO scheme, which estimates the faults in real time, is designed based on Lyapunov analysis. Then, based on the designed AFDO, a fault tolerant actor- critic control scheme is proposed where the critic neural network (NN) is used to approximate the value function and the actor NN updates the fault tolerant policy based on the approximated value function in the critic NN. The weight update laws for critic NN and actor NN are designed using the gradient descent method. By Lyapunov analysis, we prove the uniform ultimately boundedness (UUB) of all the states, their estimation errors, and NN weights of the fault tolerant system under the unpredictable faults. Finally, we verify the effectiveness of the proposed method through numerical simulations.     

基于有色Petri网的工作流故障诊断方法

工作流系统的故障自动诊断和定位是云计算环境提供持续服务的基础;为了提高工作流系统的故障诊断准确性,文章提出了一种基于有色Petri网的故障诊断方法;首先,用开放世系模型对工作流进行建模;然后,提出了一种基于有色Petri网的故障模型;最后,将工作流的开放世系模型转化为有色Petri网故障模型,并提出了相应的多故障诊断方法;实验表明,文章提出的方法不仅故障定位的准确率和执行效率高于相关算法,还能有效的识别系统中的多个故障.     

基于嵌入式Linux系统的键盘驱动设计

摘要：为了适应嵌入式设备外设的多样性,本文以特殊矩阵键盘为例,设计了一套完整的驱动控制模块。硬件电路设计采用外扩3片SN74HCl64芯片的方式,节省了GPIO引脚的使用,大大提高了利用效率。同时,在此基础上引出了Linux内核中input子系统的特性和工作机制,呈现了较为完整的输入事件由内核空间传递到用户空间进程的过程。实验结果表明,设计的驱动模块具有良好的实时性和准确性。     

校园网提速方法和控制策略的研究

校园网已成为高校教育、科研、行政办公的重要工具和载体。高校师生对校园网的应用提出了较高的要求。但是目前大部分高校的网络速度并不是太理想,网络结构和性能有待进一步提高。本文对河南财经政法大学校园网的网速及应用进行了分析,提出了在不增加带宽的前提下改善网速的方法和控制策略。     

主成分分析法在学生成绩分析中的应用

本文从大学四年成绩的真实数据入手,利用主成分分析法,建立了数学模型,然后给出各主成分的得分函数,并结合成绩进行分析,最后得出影响成绩的主要课程,并验证了学校实行的学分绩是合理的。该研究结果为今后的教学研究和管理提供了科学的依据。     

气动激励装置原型机磁共振弹性成像研究

介绍:磁共振弹性成像是一种无创的对生物组织的生物力学特性进行定量分析的新技术。在诸多外部机械激励方法中,气动激励装置因其磁兼容性好而相对被广泛使用。本研究搭建了一台气动装置原型机并测试了该装置在不同频率和振幅条件下的性能。材料和方法:使用超声方法测试气动激励装置原型机在无负载条件和不同频率和振幅情况下的性能,并在磁共振弹性成像环境测试该原型机在有负载条件下的性能。结果:生物组织的弹性值与外部激励的频率和振幅、生物组织的机械力学特性以及传导管的长度和内径有关。结论:稳定可靠的机械波是磁共振弹性成像中准确可靠地重建组织弹性值的保障,气动激励装置的机械激励参数应根据不同生物组织的特性进行优化,以保证弹性值重建的可靠性。     

Studying single nanocrystals under high pressure using an x-ray nanoprobe

In this report, we demonstrate the feasibility of applying a 250-nm focused x-ray beam to study a single crystalline NbSe(3) nanobelt under high-pressure conditions in a diamond anvil cell. With such a small probe, we not only resolved the distribution and morphology of each individual nanobelt in the x-ray fluorescence maps but also obtained the diffraction patterns from individual crystalline nanobelts with thicknesses of less than 50 nm. Single crystalline diffraction measurements on NbSe(3) nanobelts were performed at pressures up to 20 GPa.