Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality.

A new robust neurofuzzy model construction algorithm has been introduced for the modeling of a priori unknown dynamical systems from observed finite data sets in the form of a set of fuzzy rules. Based on a Takagi-Sugeno (T-S) inference mechanism a one to one mapping between a fuzzy rule base and a model matrix feature subspace is established. This link enables rule based knowledge to be extracted from matrix subspace to enhance model transparency. In order to achieve maximized model robustness and sparsity, a new robust extended Gram-Schmidt (G-S) method has been introduced via two effective and complementary approaches of regularization and D-optimality experimental design. Model rule bases are decomposed into orthogonal subspaces, so as to enhance model transparency with the capability of interpreting the derived rule base energy level. A locally regularized orthogonal least squares algorithm, combined with a D-optimality used for subspace based rule selection, has been extended for fuzzy rule regularization and subspace based information extraction. By using a weighting for the D-optimality cost function, the entire model construction procedure becomes automatic. Numerical examples are included to demonstrate the effectiveness of the proposed new algorithm.     

电力负荷动态模型综述

概括介绍了基于统计综合法和总体辨识法建立的各种负荷动态模型,分析了它们的优缺点和适用范围;提出了一种考虑综合负荷中配电网络的影响和感应电动机所占比重,通过大量仿真计算,对结果进行拟合从而建立负荷动态模型的新思路.     

基于ATM的ADSL接入技术

介绍了ADSL产生的背景、阐述了基于ATM的ADSL的接入网模型及ADSL的安装,分析了 ADSL接入技术的优点及存在的问题。     

基于负载观测的伺服系统抗扰研究

当负载变化时，按线性二次型状态反馈(LQSF)所设计的最优闭环控制系统是有静差的，为了减小和消除扰动静差，文中引入负载观测器实施对扰动负载的观测，并将其引入到电流调节器的输入端，作为速度调节器前馈补偿的控制输入，从而使系统具有优良的抗扰性能。文中给出了伺服系统负载观测的存在条件，负载观测器的构成方法，并在有或无负载观测结果参与控制的情况下，对实际系统做对比研究。系统的仿真和实验均证实了负载观测器参与系统控制的有效性。     

非线性多自由度转子系统精细数值积分

针对非线性动力学问题中的刚度病态或奇异的问题，在某些高精度算法失效的情况下，经过恒等变换，抑制了刚度奇异和病态，然后通过哈密顿体系的常用方法将原方程转化为一阶微分方程，并利用求解非线性动力学方程的分段直接积分法进行逐步积分计算，提出了处理刚性问题的一般方法。以动力学行为极其复杂的非线性油膜力支撑的多自由度转子系统为例，采用较大时间步长获得到了较为理想的计算结果。     

滑动回归最小二乘算法在某电动振动台模型辨识中的应用

在分析电动振动台数学模型的基础上,利用先进的滑动回归最小二乘辨识算法,有效地开展了电动振动台这一复杂电力学系统阶数和时延的确认、参数估计,并建立了系统的ARMA模型.给出了某型电动台空台面和另一型振动台带滑台的模型辨识结果,并通过正弦扫频试验实例给出了模型验证.结果表明,该算法辨识精度高,收敛速度快,鲁棒性强,抗噪声能力强,在电动振动台系统辨识上能取得良好的效果.     

桥梁颤振气动导数辨识的随机激励法

针对桥梁颤振气动导数辨识提出非经典线性系统参数辨识的随机激励法,能够同步识别出桥梁模型中全部的八个颤振气动导数.该方法基于载荷辨识原理,避免讨论非经典线性系统模态矩阵对称性的问题.通过仿真算例,说明此方法识别结果稳定,并具有一定的抗噪干扰能力,在工程应用上具有一定的意义.     

低温冷冻干燥装置的研制

冷冻干燥过程的研究对实验室用小型冷冻干燥装置提出了新的性能要求。笔者设计并制作了一台低温冷冻干燥装置 ,首次应用新型的自动复叠循环作其制冷系统。该装置最低制冷温度低于 - 80℃ ,并且能对温度、真空度以及制品质量进行准确地测量和控制 ,可用于多种制品冷冻干燥过程的研究和优化     

聚苯硫醚砜膜聚集态结构的研究

采用X射线衍射法及激光散射法研究了聚苯硫醚砜(PPSS)膜的聚集态结构,两种方法都得到了一致的结论未经处理的PPSS的样品呈非晶态;经过适当的温度退火处理后,其聚集态结构形成一些次级的有序结构.     

Sol-gel preparation of transparent zinc oxide films with highly preferential crystal orientation

ZnO films highly orientated along the (0 0 2) plane were obtained by preheating the films at different temperatures for 10 min after each coating and postheating at 600 °C for 1 h. The pre-heat treatment conditions were found to strongly affect the crystallographic orientation, morphology and the optical properties of the resultant ZnO films. The more the films were oriented preferentially along (0 0 2) direction, the greater became their optical properties. By applying the preheating temperature of 300 °C, the grain size of films was increased and the average optical transmittance became about 80% in the visible range. The films showed smooth surface with a fine microstructure without cracks and voids.