利用MATLAB中的公式对工程任务进行系统求解

A. G. Rishnyak
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引用次数: 2

摘要

本文论述了工程中智能计算机辅助的若干问题。说明了在面向对象的智能CAD管理结构中对基础工程知识进行封装的方便性。介绍了用MATLAB对随机系统的行为进行概率分析的优点。针对高精度飞行器在随机复杂条件下的性能优化设计和系统分析,提出了类和公式库,作为教研CAD数学支持的一部分。与集成包不同,使用分布式知识和数学求解器的工作有助于制定系统方法。然而,这种工作需要适当的培训。因此,提出了在现代工程教育的基础上增加专业智能环境的思想。本文论述了工程中智能计算机辅助的若干问题。说明了在面向对象的智能CAD管理结构中对基础工程知识进行封装的方便性。介绍了用MATLAB对随机系统的行为进行概率分析的优点。针对高精度飞行器在随机复杂条件下的性能优化设计和系统分析,提出了类和公式库,作为教研CAD数学支持的一部分。与集成包不同,使用分布式知识和数学求解器的工作有助于制定系统方法。然而,这种工作需要适当的培训。因此,提出了在现代工程教育的基础上增加专业智能环境的思想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systemic solution for engineering tasks by using formulas in MATLAB
This paper talks about the problems of intellectual computer assistance in engineering. It shows the encapsulation expediency of basic engineering knowledge in object-oriented administrative structures of intelligent CAD. It also presents the advantages of the probabilistic analysis of stochastic system’s behavior using MATLAB. Library of classes and formulas is presented as a part of mathematical support for educational-research CAD, oriented to optimal designing and system analysis of the functionality of high precision flying machines in random complex conditions. The work with distributed knowledge and mathematical solvers help to make a systematic approach, unlike the integrated packages. However, such work requires an appropriate training. That is why, the idea to add specialized intelligent environments in the basis of modern engineering education is proposed.This paper talks about the problems of intellectual computer assistance in engineering. It shows the encapsulation expediency of basic engineering knowledge in object-oriented administrative structures of intelligent CAD. It also presents the advantages of the probabilistic analysis of stochastic system’s behavior using MATLAB. Library of classes and formulas is presented as a part of mathematical support for educational-research CAD, oriented to optimal designing and system analysis of the functionality of high precision flying machines in random complex conditions. The work with distributed knowledge and mathematical solvers help to make a systematic approach, unlike the integrated packages. However, such work requires an appropriate training. That is why, the idea to add specialized intelligent environments in the basis of modern engineering education is proposed.
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