MATLAB与电路分析中英文翻译

文献翻译

英文原文：

Circuit analysis with MATLAB

The electrical appliances is becoming more and more important in today’s world where computer technology, internet technology and communication technology are developing rapidly and people’s life has been greatly im proved.

Circuit analysis is a necessary course and basic knowledge for electronic special student. It is the foundation of circuit maintenance and circuit application. As one of the most important subjects for an under-graduated student who’s mayor in elec tronic information engineering, circuit analysis state for the professional capability. With the development of the circuit analysis field, circuits get more complicated and simulation technology using computer grown up. Dynamic circuit analysis is the most difficult, which takes time and a huge mount of manual work especially when circuit is complicated. So we uses the Matlab/Simulink simulation tools and the power system block model library to make analysis on several simple circuit such as the alternating urgent steady-state circuit、direct current steady-state circuit and first-order dynamic circuit. The circuits are programmed by Matlab language and simulate it by Simulink tools. Although simulation by computer software can not replace the traditional way, it helps people to understand circuit analysis directly and effectively. By these tools，people can demonstrate the circuit performances and reduce complicated calculation. It makes us save a lot of work. During this process，we know how Matlab/Simulink work and show the advantage of Matlab/Simulink tools on circuit analysis，it turns out to be simple，convenience，efficient and flexible.

MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include:

1．Math and computation

2．Algorithm development

3．Modeling, simulation, and prototyping

4．Data analysis, exploration, and visualization

5．Scientific and engineering graphics

6．Application development, including graphical user interface building MATLAB is an interactive system whose basic data element is an array that does

not require dimensioning. That allows you to solve many technical computing problems, especially those with matrix and vector formations in a fraction of the time, which would take a lot of time to write a program in a scalar non-interactive language such as C or FORTRAN.

The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects. Today, MATLAB engines incorporate the LAPACK and BLAS libraries, embedding the state of the art in software for matrix computation.

MATLAB has evolved over a period of years with input many users. In university environments, it is the standard instructional tool for introductory and advanced courses in mathematics, engineering, and science. In industry, MATLAB is the tool of choice for high-productivity research, development, and analysis.

MATLAB features a family of add-on application-specific solutions called toolboxes. Very important to most users of MATLAB, toolboxes allow you to learn and apply specialized technology. Toolboxes are comprehensive collections of MATLAB functions (M-files) that extend the MATLAB environment to solve particular classes of problem. Areas in which toolboxes are available include signal processing, control systems, neural networks, fuzzy logic, wavelets, simulation, and many others.

The MATLAB system consists of five main parts:

Development environment. This is the set of tools and facilities that help you use MATLAB functions and files. Many of these tools are graphical user interfaces. It includes the MATLAB desktop and Command Windows, a command history, an editor and debugger, and browsers for viewing help, the workspaces, files, and the search path.

The MATLAB Mathematical Function Library. This is a vast collection of computational algorithms ranging from elementary functions like sum, sine, cosine, and complex arithmetic, to more sophisticated functions like matrix eigenvalue, Bessel functions, and fast Fourier transforms.

The MATLAB Language. This is a high-level matrix/array language with control flow statements, functions, data structures, input/output, and object-oriented programming features. It allows both “programming in the small” rapidly create quick and dirty throw-away programs, and “programming in the large” to create complete large and complex application programs.