可视化符号运算系统VSCS的设计与实现

介绍了VSCS系统的研制背景、设计思想、实现技术和特点。本系统有输入输出界面友好、操作简单、可视化的中间计算过程、符号运算功能等特点；实现了Matlab、Mathematica等软件没有实现的多元多项式的乘法和除法运算。     

实现FCS与MATLAB之间数据共享与互联

本文采用OPC服务器、OPCActiveX控件取代IO驱动程序,实现与Matlab数据共享和互联,无干扰地增加Matlab强大的符号、数值计算、矩阵运算以及图形显示的功能,实施先进控制、优化控制。     

软测量系统的数据通信实现

本文提出了一种软测量系统数据通信的具体实现方法.利用可视化编程工具Visual Basic(vB)通过AcfiveX控件技术实现对PHD数据对象的访问,进行数据的实时存取,为软测量模型计算提供数据来源;采用二进制文本的方法实现Matlab与VB应用程序的数据交换;并利用组态王实现Access数据库与外部程序的数据交换.在系统界面上实时显示各类采集和运算结果.最后整体实现了系统从数据采集、模型运算和界面显示的正常运行.     

基于Matlab符号数学工具箱的程序设计

介绍了Matlab符号数学工具箱的基本功能,讨论了使用该工具箱开发符号运算程序的一些难点并给出了解决途径。     

Matlab在计算物理课程教学中的应用

介绍了高性能语言Matlab在计算物理课程教学中(蒙特卡罗模拟、数值运算、符号运算等)的一些应用。应用表明,Matlab功能强大、方便直观、节省时问,是计算物理课程教学的一个有效的辅助工具。     

基于VB和Matlab COM的控制系统仿真

Matlab具有强大的控制算法实现能力但系统过于庞大,VB语言矩阵运算能力差,但具有图形用户界面方面的开发优势,针对此,提出利用Matlab COM Builder工具创建仿真组件,在VB中调用组件进行控制系统仿真.利用Matlab矩阵运算实现仿真算法,避开了编译器对控制系统工具箱的限制,使得组件可脱离Matlab环境运行.仿真结果表明,该法行之有效,VB和Matlab可实现优势互补,利于控制系统仿真,提高编程效率.     

一种双连杆柔性臂动力学模型的研究

针对末端位置受约束的双连杆柔性机械臂,通过哈密顿原理得到系统的分布参数模型,推导了描述关节角,柔性杆振动和接触力之间关系的动力学模型.根据3个假设条件推导柔性臂简化的集中参数动力学模型及准静态方程,利用了计算力矩法设计的控制器对模型进行控制,通过Matlab进行仿真,利用Matlab的符号运算功能,编制M文件实现数学模型自动推导,整个建模和运算过程简单、直观和高效,并绘制了参数轨迹图像,验证了模型的有效性,已应用到小波神经网络控制算法研究中.     

基于FPGA的IIR数字滤波器的设计与仿真

提出一种在FPGA中实现高速IIR数字滤波器的方法,在理论上分析了IIR数字滤波器系数取整后的稳定性问题;利用FDATool设计滤波器,在Matlab中编程仿真;使用实验仿真的方法确定IIR滤波器系数量化字长,保证了IIR滤波器性能和硬件资源的优化,使IIR滤波器能适用高速场合,研究了FPGA中运算部件的运算特点,采用Verilog硬件描述语言实现迭代运算及有符号数乘法;最后编程实现IIR数字滤波器,通过Quartusll仿真并在FPGA上实现.通过试验验证,该方法设计的IIR数字滤波器收敛,能适用于对实时性要求高的系统中.     

VC与Matlab接口在魔方仿真中的应用

通过Visual C++与Matlab混合编程,在VC++编辑环境中调用Matlab引擎库,实现对仿真魔方还原的实时显示,可发挥Visual C++开发环境强大,执行速度快,软件自动生成和可视化的资源编辑功能,又可以充分发挥Matlab强大的数值计算、数据处理、系统分析、图形显示,甚至是符号运算功能,大大简化了C语言直接编程的繁琐,提高了开发效率。     

Matlab、Access和VB.NET混合编程方法的研究和应用

在等离子体单粒子模拟程序开发中,需要进行大量的模拟运算,保存和分析大量的模拟结果.Matlab是科学和工程计算的常用工具,但不具备大量数据的管理能力.Microsoft Access是广泛应用的数据库管理和应用软件,VB.NET是功能强大,简单易学的程序设计语言工具.结合这3种软件最新版本的新特性,通过三者的混合编程,在VB.NET中利用ActiveX技术实现对Matlab的调用,使用Matlab进行模拟运算,并将模拟结果保存到Access数据库中,利用三者各自的优点,编写出了适合需要的应用程序.     

Minimum-phase criteria for sampled systems via symbolic approach

In this paper, we propose a symbolic approach to determine the sampling-time range which guarantees minimum-phase behaviours for a sampled system with a zero-order hold. By using Maple, a symbolic manipulation package, the symbolic transfer function of the sampled system, which contains sampling time T as an independent variable, can be easily obtained. We then adopt the critical stability constraints to determine the sampling-time range which ensures that the sampled system has only stable zeros. In comparison with existing methods, the proposed approach in this note has less restrictions on the continuous plant and is very easy to implement in any symbolic manipulation package. Several examples are illustrated to show the effectiveness of this approach.     

Matlab在线性代数实践教学中的应用

文中论述了在线性代数教学中培养学生科学计算能力的必要性和重要性,通过把Matlab引入到定理验证、含符号变量行列式和线性方程组的教学实践,说明将线性代数理论、应用及Matlab有机结合,可以帮助学生直观地理解掌握理论知识,通过Matlab的应用掌握科学计算方法,提高学生的科学计算能力。     

Symbolic pattern manipulation of Karnaugh-Veitch maps for pneumatic circuits

Pneumatics continue to play a vital role in low-cost automation. The designing of pneumatic control circuits has to date been a slow manual process. This paper describes the computational symbolic manipulation of the Karnaugh-Veitch (KV) map which is the heart of the prototype expert system called PNEUMAES. The symbolic manipulation of a KV map is governed by two sets of generic rules for signal flow plotting and for logic equation minimisation applicable for complex pneumatic circuits. As the complexity of the circuit increases, the symbolic manipulation of a KV map leads to the combinatorial explosion problem. Because of this problem, PNEUMAES can only automatically generate pure pneumatic circuit design equations which will yield minimised circuit configuration for up to four cylinders with auxiliary control valves. A case study is included and issues and problems relating to the implementation of the KV map are discussed. Symbolic and sub-symbolic learning approaches are suggested as a means by which the search space of the symbolic patterns of the KV map can be pruned.     

基于内容的多媒体数据库系统引擎CDB

CDB(Content-based DataBase)是一种基于内容的多媒体数据库引擎，可以嵌入到通用的对象一关系数据库中，使数据库系统综合支持对多媒体数据的常规和基于内容的壹询．本文首先阐述CDB的体系结构，它把信息检索和数据检索结合到数据库中，支持多媒体数据库的基于内容的建立、操纵和维护；然后给出其层次型内容模型，描述多媒体内容的时空结构特征以及信息线索；最后描述用于CDB的基于内容信息检索技术及其设计和实现的用户壹询和操纵接口，包括示例壹询、主观颜色壹询、视频概要和浏览、扩展SQL内容壹询等．     

ISR: a database for symbolic processing in computer vision

ISR (international symbolic representation), a representation and management system for use at the intermediate (symbolic) level of vision, is described. ISR mediates access to intermediate-level vision data and forms an active interface to the higher-level inference processes that construct an image's interpretation. The system supports important types of data and operations and can be adapted to the changing needs of ongoing research. It provides a centralized data representation that supports integration of results from multiple avenues of research into the overall vision system. ISR's underlying computational paradigm is explained, database requirements for image interpretation are identified, the ISR data management system is described, and the use of ISR is discussed     

基于元数据和XML的信息抽取与集成技术研究

为了得到统一的数据形式以利于数据操作和处理,提出了采用基于元数据的模板定制技术以实现信息抽取的方法．该方法有效地实现对非结构化文本的信息提取,将抽取信息转换为统一的XML格式,然后将XML格式的信息集成到关系数据库中．本方法在某造船厂的企业信息化中得到成功应用,为解决企业的信息集成问题提供了一种面向Word文档的新方案．     

Hierarchical intelligent control for robotic motion

This paper presents a new scheme for intelligent control of robotic manipulators. This scheme is a hierarchically integrated approach to neuromorphic and symbolic control of robotic manipulators. This includes an applied neural network for servo control and knowledge-based approximation. The neural network in the servo control level is based on a numerical manipulation, while the knowledge based part is symbolic manipulation. The knowledge base part develops control strategies symbolically for the servo level. The neural network compensates for vagueness in the control strategies, nonlinearities of the system and uncertainties in its environment using neuromorphic control.     

A system for multibody analysis based on object-relational database technology

An efficient support for computational technology and information management will be critical in future Engineering Information Systems (EIS). This paper shows how it is possible to provide efficient data management capabilities to the discipline of Multibody System (MBS) analysis. The MECHAMOS prototype of a MBS analysis tool has been developed that is based on an object-relational database management system, AMOS, which has been extended with additional mathematical functionality by the use of Matlab and MapleV as computational engines. The MBS model is represented as a database model in AMOS and the analysis is based on symbolic formulation of Kane's equations of motion. With this configuration, data is made fully accessible via the AMOSQL query language of AMOS. Furthermore, by providing the MBS application with general database technology, the data management will be more efficient in terms of handling large amounts of data and the development and maintenance of MBS analysis systems. Since MBS models are represented in a “neutral format”, the reusability of these models increases and they will be more persistent to changes in the EIS environment.