拉赫马宁海浪谱的再认识

利用拉赫马宁海浪谱的有理函数形式在谱的峰值、峰值频率和总能量三个方面对工程上广为应用的Pierson-Moskowitz海浪谱进行了有理化逼近,给出了一个较为理想的有理海浪谱,并利用该有理谱构造了成型滤波器.结果表明:本文给出的有理海浪谱是一个非常理想的海浪谱,它为海浪的模拟与船舶控制工程领域海浪为有色干扰的变换问题均带来了极大的方便.     

利用触觉传感器实现滑觉的机器人抓握控制系统的研究

本文提出一种利用阵列式触觉传感器实现滑觉检测的方法.在此基础上,设计了机器人抓握控制系统,仿真结果表明,此方案是可行的.     

木材湿度测试仪

介绍了湿度测量的基本原理及电阻法测量湿度的设计思想,设计了一种电阻式集成电路木材湿度测试仪。较好地解决了木材及建筑材料湿度的检测问题。     

定量下料问题的动态称重解决方案

本文针对定量下料问题提出了利用动态称重方法的解决方案。文中具体分析了定量下料问题，建立了它的数学模型和参数辨识模型，然后提出利用下料速度积分得到下料质量的方法。文中推导了下料速度的计算公式，提出了利用双曲Ｈｏｕｓｅｈｏｌｄｅｒ限定记忆最小二乘法的计算方法。进行了样机设计和实验，实验结果表明该解决方法是可行的。     

一种基于RCPT码的混合ARQ方法及其在衰落信道下的性能

本文基于码率匹配截短Turbo(RCPT-Rate Compatible Punctured Turbo)码,综合利用"码字校验交替重传"方案及Chase组合技术,提出了一种新型混合ARQ(Hybrid Automatic Repeat reQuest)方法,并进一步在瑞利衰落信道上对该方法的性能进行了仿真验证,同时将其与几种现有基于RCPT码的混合ARQ方法进行了比较.数值结果表明,本文所提方法能以较低的系统实现复杂度获得较好的性能.     

基于多传感器数据融合的温室温度采集

温室具有空间大且温度场分布受多种参数影响大等特点。基于这些特点，本文提出了基于多传感器数据检测与数据融合技术的温室环境温度采集方法。在多传感器采集数据基础上，采用分布图法去除疏失误差，同时采用基于均值的递推估计融合的方法对采集的数据进行融合。仿真结果表明，采用这种方法可以提高温度采集的精度，同时有效地消除了由于传感器失效引起的误差。     

负反馈放大器反馈类型及其判断

电子电路中,负反馈现象普遍存在,负反馈是模拟电子技术中的一个重要知识点,也是难以掌握的知识点.对反馈概念、反馈极性、反馈类型进行了讨论,归纳了反馈极性与反馈类型在分立元件电路和集成电路中的判断方法.     

迟滞非线性系统的神经网络建模

提出了一种利用神经网络对迟滞非线性系统的建模方法。网络分三层结构,隐层神经元的激励函数采用两个移位的Sigmoid函数组成的迟滞环构成,根据非线性系统的特点,给出了网络结构的确定方法。网络的学习算法采用传统的梯度下降学习算法。利用该网络对压电陶瓷迟滞特性进行了建模实验,实验结果证明了该方法的有效性。     

A roadmap towards intelligent net zero- and positive-energy buildings

Buildings nowadays are increasingly expected to meet higher and more complex performance requirements: they should be sustainable; use zero-net energy; foster a healthy and comfortable environment for the occupants; be grid-friendly, yet economical to build and maintain. The essential ingredients for the successful development and operation of net zero- and positive-energy buildings (NZEB/PEB) are: thermal simulation models, that are accurate representations of the building and its subsystems; sensors, actuators, and user interfaces to facilitate communication between the physical and simulation layers; and finally, integrated control and optimization tools of sufficient generality that using the sensor inputs and the thermal models can take intelligent decisions, in almost real-time, regarding the operation of the building and its subsystems. To this end the aim of the present paper is to present a review on the technological developments in each of the essential ingredients that may support the future integration of successful NZEB/PEB, i.e. accurate simulation models, sensors and actuators and last but not least the building optimization and control. The integration of the user is an integral part in the dynamic behavior of the system, and this role has to be taken into account. Future prospects and research trends are discussed.     

Symmetric and symplectic exponentially fitted Runge–Kutta–Nyström methods for Hamiltonian problems

The construction of symmetric and symplectic exponentially fitted modified Runge–Kutta–Nyström (SSEFRKN) methods is considered. Based on the symmetry, symplecticity, and exponentially fitted conditions, new explicit modified RKN integrators with FSAL property are obtained. The new integrators integrate exactly differential systems whose solutions can be expressed as linear combinations of functions from the set { exp(± iωt)}, ω > 0, i² = −1, or equivalently from the set { cos(ωt), sin(ωt)}. The phase properties of the new integrators are examined and their periodicity regions are obtained. Numerical experiments are accompanied to show the high efficiency and competence of the new SSEFRKN methods compared with some highly efficient nonsymmetric symplecti EFRKN methods in the literature.