Adaptive backstepping repetitive learning control design for nonlinear discrete‐time systems with periodic uncertainties

This paper addresses a tracking problem for uncertain nonlinear discrete‐time systems in which the uncertainties, including parametric uncertainty and external disturbance, are periodic with known periodicity. Repetitive learning control (RLC) is an effective tool to deal with periodic unknown components. By using the backstepping procedures, an adaptive RLC law with periodic parameter estimation is designed. The overparameterization problem is overcome by postponing the parameter estimation to the last backstepping step, which could not be easily solved in robust adaptive control. It is shown that the proposed adaptive RLC law without overparameterization can guarantee the perfect tracking and boundedness of the states of the whole closed‐loop systems in presence of periodic uncertainties. In addition, the effectiveness of the developed controller is demonstrated by an implementation example on a single‐link flexible‐joint robot. Copyright © 2014 John Wiley & Sons, Ltd.     

Disease Ionomics: Understanding the Role of Ions in Complex Disease

Ionomics is a novel multidisciplinary field that uses advanced techniques to investigate the composition and distribution of all minerals and trace elements in a living organism and their variations under diverse physiological and pathological conditions. It involves both high-throughput elemental profiling technologies and bioinformatic methods, providing opportunities to study the molecular mechanism underlying the metabolism, homeostasis, and cross-talk of these elements. While much effort has been made in exploring the ionomic traits relating to plant physiology and nutrition, the use of ionomics in the research of serious diseases is still in progress. In recent years, a number of ionomic studies have been carried out for a variety of complex diseases, which offer theoretical and practical insights into the etiology, early diagnosis, prognosis, and therapy of them. This review aims to give an overview of recent applications of ionomics in the study of complex diseases and discuss the latest advances and future trends in this area. Overall, disease ionomics may provide substantial information for systematic understanding of the properties of the elements and the dynamic network of elements involved in the onset and development of diseases.     

测量二次电子空间分布特征矩阵法的有效性分析

为了准确测量不同材料在实际环境中的二次电子空间分布，设计了一种新型的二次电子发射空间分布测量结构，给出了实验测量原理，用求解特征矩阵的方法对实验结果进行处理，得到了所需的二次电子空间分布。通过模拟计算对该测量方法进行了校验，模拟结果与假设二次电子空间分布函数相吻合，表明该测量方法可靠、测量精度高，为后续样机研制奠定了理论基础。     

基于分形插值的城市降雨时间序列精细化估算

基于分形原理对济宁市降雨时间序列进行精细化插值,对降雨数据的分形特征进行分析,通过MATLAB软件计算降雨分形插值,最终将分形插值与传统插值进行对比;所得结果可满足当前中小型城市的城市雨洪建模的降雨数据需求。     

石墨烯的用量对合成异戊橡胶力学性能和电性能的影响

通过对不同含量的石墨烯与异戊橡胶混炼和硫化,制备出了石墨烯补强的新型异戊橡胶复合材料,硫化特性测试表明石墨烯能够增大异戊橡胶的硫化程度,且随着石墨烯含量增多,石墨烯对异戊橡胶硫化的促进效果也会增强,但是石墨烯含量的增多也会导致异戊橡胶焦烧时间t_(10)的下降,影响橡胶混炼过程的安全性。经过拉伸强度和撕裂强度等力学性能测试表明,石墨烯的添加能够同时增大异戊橡胶的拉伸强度和撕裂强度,当异戊橡胶中加入0.5～1.0份石墨烯时,异戊橡胶的综合力学性能最好。电性能测试结果表明,加入2.0份石墨烯,异戊橡胶的电导率提高近1 000倍,达1.87×10~(-7) S/cm,可以制备适应某些领域的抗静电橡胶和导电橡胶。     

基于多项式变换的参数估计方法

本文给出一种采用DPT估计SNCK信号时宽—带宽积的方法,并通过仿真该估计方法的性能与其它估计方法进行比较.首先给出SNCK信号参数估计的一般过程.为了便于计算和理论推导,根据估计出的中心频率将接收到的SNCK信号搬移到零频,从而进一步估计其它参数,如采用DPT估计SNCK信号时宽带宽积.本文将重点研究采用DPT算法估计SNCK信号值的方法.     

稀土石膏常压酸化法制备硫酸钙晶须的研究

以含稀土的石膏为原料运用常压酸化法合成硫酸钙晶须,探讨了不同工艺条件对生成的硫酸钙晶须形貌的影响,同时还考察了晶型助长剂的种类和晶型助长剂的含量对硫酸钙晶须生长的影响,利用SEM和XRD分别对硫酸钙晶须的表面形貌、物相特征做了表征分析。实验得到制备硫酸钙晶须的最佳的反应条件：稀土石膏质量浓度为0.22 g/mL、反应时间为25 min、盐酸浓度为2.8 mol/L、反应温度为70 ℃、陈化时间为4 h,在此条件下合成的硫酸钙晶须平均长度为61 μm,平均长径比为30.5;通过对比实验选出了CuCl₂作为促进硫酸钙晶须生长的助长剂,在添加5%（质量分数）的CuCl₂的情况下可使硫酸钙晶须长径比从30.5增至41,长度从61 μm增至81 μm。     

SMA丝增强SHCC拉伸时的变形和裂纹自回复性能研究

将单根形状记忆合金(SMA)丝埋入应变硬化水泥基复合材料(SHCC)中,采用循环拉伸试验研究SMA丝的预拉伸应变大小(分别为0％、2％、4％和5.5％)对SHCC拉伸应力-应变关系、残余应变回复率、裂纹平均宽度、裂纹回复性等的影响.结果 表明,SMA丝的埋入提高了SHCC的初裂强度、极限强度和极限应变.SMA丝的预拉伸应变较大时,SMA增强SHCC的延性和强度较高.采用加热方法驱动SMA丝可使SHCC的残余应变减小,含预拉伸SMA丝的SHCC试样的变形回复率达到60％ ～ 90％,而含未预拉伸SMA丝的SHCC试样的变形回复率仅为20％～ 42％.SMA丝预拉伸应变增加时,SMA丝驱动后SHCC中裂纹的平均宽度变小.当驱动预拉伸应变为5.5％的SMA丝时,SMA增强SHCC的裂纹平均宽度约为10μm.