通用型控制系统仿真软件

该控制系统分析软件集线性微分方程数值求解、线性系统仿真、非线性系统仿真、采样系统仿真以及根轨迹绘制、波德图绘制、相轨迹绘制等功能于一体。可对各种系统进行直观的时域仿真分析和传统的图解分析。仿真精度在万分之一以上，仿真时间仅需数秒。另外，软件采用方框图可视人机对话方式，直接修改传递函数、输入量等参数就可实现对所有单变量系统的仿真，故软件使用非常方便，一看就会。本仿真软件的研制成功，克服了经典控制理论需要绘制大量图形以及对高阶系统、非线性系统和采样系统的分析误差大等缺点。可以加快自动控制技术的推广、普及，是自动控制领域的又一次重大突变。     

电压模式Buck变换器混沌建模与控制研究

DC-DC变换器混沌现象与控制是复杂的非线性问题,而大部分该问题的仿真模型也是抽象的数学模块仿真模型.为了方便直观地研究,利用Matlab中simulink电路仿真模块建立了电压模式Buck变换器电路仿真模型.推导获得了变换器非线性系统的精确离散模型,并在经典OGY方法的机理上,给出了应用上述方法控制变换器混沌状态的控制序列.结合所建电路仿真模型仿真分析Buck变换器由周期分岔直至混沌与OGY控制混沌回到稳定的一周期轨道的过程.仿真结果表明,所建仿真模型准确而直观地验证了离散模型的正确性及OGY方法的有效性.     

基于MATLAB的电力电子电路建模仿真方法的研究

通过三相桥式可控整流电路实例讨论了利用MATLAB SIMULINK对电力电子电路进行建模仿真的方法，并给出了仿真结果波形，证实了该方法的简便直观、高效快捷和真实准确性。利用该方法还能对非常复杂的电路、电力电子交流系统、电力施动自动控制系统进行建模仿真。系统的建模和实际系统的设计过程非常的相似，用户不用进行编程，也无需推导电路、系统的数学模型，就可以很快地得到系统的仿真结果，通过对仿真结果分析就可以将系统结构进行改进或将有关参数进行修改使系统达到要求的结果和性能，这样就可以极大地加快系统的分析或设计过程。     

可编辑二维曲线的自动绘制

实验数据分析时,经常需要绘制二维曲线。它可以形象直观地反映不同量之间的关系。AutoCAD具有强大而精确的绘图功能;Delphi软件包提供面向对象编程语言(OOP)及可视化控件,使实验数据的录入与处理过程可以更方便地完成。Delphi与AutoCAD借助DDE通道实现二维曲线的自动绘制。用户可以对得到的二维曲线进一步编辑,以满足具体作图要求。     

基于LabVIEWTM7 Express绘制二元金属相图的虚拟仪器

设计开发了基于LabVIEWTM7 Express自动绘制二元金属相图的虚拟仪器系统.实验表明利用LabVIEW开发绘制相图的虚拟仪器,编程直观高效,仪器面板友好、易操作、功能易扩展;避免了人工数据记录、处理、绘图的烦琐和人为误差,还可利用LabVIEW强大的数据处理功能对实验数据做深层次处理,大大提高实验结果的准确性和重现性.用该虚拟仪器自动绘制的Pb-Sn金属相图,其低共熔点与文献值比较相对误差为-0.219%,结果令人满意.     

模糊自整定PID控制器设计以及MATLAB仿真分析

为了解决液压控制的关键技术,该文针对时变、非线性的电液伺服系统提出了模糊自整定PID控制器设计的思路,结合Simulink和模糊工具箱并进行仿真分析,该仿真模型具有结构简单、界面直观、便于修改等特点,根据PID参数变化需要提出了模糊控制规则选取方法,给出了系统软、硬件实现方法,该系统具有操作方便、人机界面风格良好等优点.使用仿真和实验相结合的方法获取最佳控制参数,通过仿真和实验结果可以看出这种算法的实用性和有效性.     

基于LabVIEWTM7 Express绘制二元金属相图的虚拟仪器

设计开发了基于LabVIEW^TM7 Express自动绘制二元金属相图的虚拟仪器系统。实验表明：利用LabVIEW开发绘制相图的虚拟仪器,编程直观高效,仪器面板友好、易操作、功能易扩展;避免了人工数据记录、处理、绘图的烦琐和人为误差,还可利用LabVIEW强大的数据处理功能对实验数据做深层次处理,大大提高实验结果的准确性和重现性。用该虚拟仪器自动绘制的Pb—Sn金属相图,其低共熔点与文献值比较相对误差为-0．219％,结果令人满意。     

三元相图绘制编程与应用

为了能快速、精确地绘制出满意的三元体系的平衡相图,作者应用Inprise公司的快速开发工具Delphi 5设计实现了解决该问题的计算机绘图程序。程序具有较高的自动化程度,在相图区具有动态组成提示功能,对两相曲线可选用多项式拟合或样条函数平滑拟合,并可进行分段处理,能自动确定结线之间的最佳交点,从而确定有无新的化合物生成。应用本程序绘制了几种不同类型三元体系的平衡相图。实例运行结果表明,该程序使用方便、灵活、作图快速,图形效果满意。     

基于SIMULINK的非线性优化PID控制

提出了利用MATLAB优化控制工具箱与优化函数相结合对非线性系统PID控制器进行优化设计的方法,同时建立了基于MATLAB/SIMULINK的非线性系统仿真图.通过仿真试验,验证了该参数优化设计方法不仅方便快捷,而且使系统具有较好的控制精度和稳定性,可使系统的性能有所提高.     

基于SIMULINK的物料悬浮速度仿真研究

SIMULINK是MATLAB重要的组件之一,它为模拟动态系统提供了交互式程序,允许用户在屏幕上绘制框图来模拟系统,并能够动态地控制该系统。本文基于上述软件工具,设计一个模糊逻辑控制器,并应用于球形物料悬浮速度的仿真计算。从建立系统的仿真模型到仿真结果的图形化处理变得非常简单、直观和方便。     

The facial texture analysis for the automatic portrait drawing

It is important to draw the portrait by the facial textures automatically. In order to analyze the detailed textures located at the neighborhood of the eyes, the texture analyzing method is studied. Firstly, we propose the principle of selecting the feature points and the portrait drawing method by B-spline curves using the self-reference parameter. Then, the wavelet transform is used to analyze the position, the direction and the intensity of the double-fold eyelid textures. Experimental results have shown that the facial texture analyzing method is effective for drawing portraits automatically.     

VizCluster and its Application on Classifying Gene Expression Data

Visualization enables us to find structures, features, patterns, and relationships in a dataset by presenting the data in various graphical forms with possible interactions. A visualization can provide a qualitative overview of large and complex datasets, can summarize data, and can assist in identifying regions of interest and appropriate parameters focused on quantitative analysis. Recently, DNA microarray technology provides a broad snapshot of the state of the cell, by measuring the expression levels of thousands of genes simultaneously. Such information can thus be used to analyze different samples by gene expression profiles. It has already had a significant impact on the field of bioinformatics, requiring innovative techniques to efficiently and effectively extract, analyze, and visualize these fast growing data.In this paper, we present a dynamic interactive visualization environment, VizCluster, and its application on classifyinggene expression data. VizCluster takes advantage of graphical visualization methods to reveal underlining data patterns. It combines the merits of both high dimensional projection scatter-plot and parallel coordinate plot. In its core lies a nonlinear projection which maps the n-dimensional vectors onto two-dimensional points. To preserve the information at different scales and yet reduce the typical problem of parallel coordinate plots being messy caused by overlapping lines, a zip zooming viewing method is proposed. Integrated with other features, VizCluster is developed to give a simple, fast, intuitive, and yet powerful view of the data set. Its primary applications are on the classification of samples and evaluation of gene clusters for microarray datasets. Three gene expression datasets are used to illustrate the approach. We demonstrate that VizCluster approach is promising to be used for analyzing and visualizing microarray data sets and further development is worthwhile.     

Predictive control based on neural network models with I/O feedback linearization

This paper presents an approach for the constrained non-linear predictive control problem based on the input-output feedback linearization (IOFL) of a general non-linear system modelled by a discrete-time affine neural network model. Using the resulting linear system in the formulation of the original non-linear predictive control problem enables to restate the optimization problem as the minimization of a quadratic function, which solution can be found using reliable and fast quadratic programming (QP) routines. However, the presence of a non-linear feedback linearizing controller maps the original linear input constraints onto non-linear and state dependent constraints on the controller output, which invalidates a direct application of QP routines. In order to cope with this problem and still be able to use QP routines, an approximate method is proposed which simultaneously guarantees a feasible solution without constraints violation over the complete prediction horizon within a finite number of steps, while allowing only for a small performance degradation.     

Modelling,control, and stability analysis of non-linear systems using generalized fuzzy neural networks

This paper presents an adaptive fuzzy neural controller (AFNC) suitable for modelling and control of MIMO non-linear dynamic systems. The proposed AFNC has the following salient features: (1) fuzzy neural control rules can be generated or deleted dynamically and automatically; (2) uncertain MIMO non-linear systems can be adaptively modelled on line; (3) adaptation and learning speed is fast; (4) expert knowledge can be easily incorporated into the system; (5) the structure and parameters of the AFNC can be self-adaptive in the presence of uncertainties to maintain a high control performance; and (6) the asymptotical stability of the system is established using the Lyapunov approach. Simulation studies on a two-link robot manipulator show that the performance of the proposed controller is better than that of some existing fuzzy/neural methods.     

Metro Maps on Octilinear Grid Graphs

Schematic transit maps (often called “metro maps” in the literature) are important to produce comprehensible visualizations of complex public transit networks. In this work, we investigate the problem of automatically drawing such maps on an octilinear grid with an arbitrary (but optimal) number of edge bends. Our approach can naturally deal with obstacles that should be respected in the final drawing (points of interest, rivers, coastlines) and can prefer grid edges near the real-world course of a line. This allows our drawings to be combined with existing maps, for example as overlays in map services. We formulate an integer linear program which can be used to solve the problem exactly. We also provide a fast approximation algorithm which greedily calculates shortest paths between node candidates on the underlying octilinear grid graph. Previous work used local search techniques to update node positions until a local optimum was found, but without guaranteeing octilinearity. We can thus calculate nearly optimal metro maps in a fraction of a second even for complex networks, enabling the interactive use of our method in map editors.     

工程图对象识别规则自动获取方法的研究

分析了工程图中工程对象的构图特点，设计了适用于识别的对象特征组结构．提出了通过抽取对象特征组、由特征组自动生成识别规则的方法．提出了在识别系统中加入对象特征抽取以及识别规则自动生成与调整功能使识别系统能方便地适应新图例从而提高适应能力的方法．该方法已应用于一个建筑工程图自动分析软件并取得了较好的效果．     

基于RFID的食盐跟踪追溯系统设计与实现

针对食盐安全性的问题,提出一个基于无线射频识别(RFID)的食盐跟踪及追溯系统。采用现有的RFID技术作为主要的数据采集技术,实现跟踪以及追溯功能,完成整套系统的设计及实现。给出对食盐流通数据的自动采集、整理、人性化的展示,实验结果表明,该系统能够高效、方便、稳定地管理食盐,保证食盐产品安全。     

基于降维观测器的非最小相位系统的快速故障估计

针对传统的基于自适应观测器的故障诊断方法不适用于非最小相位系统的问题,本文基于降维 观测器提出了一种新的自适应故障估计方法．首先引入特殊坐标基（special coordinate basis, SCB）变换,可以 方便地求出误差系统的不变零点．其次对于变换之后的系统,基于降维观测器提出了一种新的快速故障估计 方法,目的在于提高故障估计的性能,即故障估计的快速性和准确性．最后仿真验证了此方法的有效性．