ریپورتر
7th April 2009, 07:11 PM
Dynamic System Simulation for MATLAB User's Guide
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From the Back Cover
The Student Edition of SIMULINK v2 enables students to quickly build and test virtual prototypes to explore and study dynamic system concepts at any level of detail with minimal effort using block diagram modeling and simulation. This book includes an extensive library of predefined blocks which can be dragged-and-dropped in order to build dynamic system models, and features hierarchical models — providing concise and easy-to-follow high-level block diagrams along with easy-to-access model parameters. The Student Edition offers seamless integration with the Student Edition of MATLAB 5®. It thus offers an ideal environment for modeling, simulating, analyzing, and interpreting systems across a variety of diverse technical areas — e.g., electrical and mechanical engineering, chemical engineering, biology, economics, and financial systems. For engineering courses modeling complex systems, especially: controls, communications, system dynamics, signal processing.
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مدیریت:لینک خراب است
http://ecx.images-amazon.com/images/I/416P26XMAGL.jpg
Download 2347 KB (http://njavan.com/forum/redirector.php?url=http%3A%2F%2Frapidshare.com%2Ff iles%2F21419616%2FSimulink.Dynamic.System.Simulati on.for.Matlab.User_s.Guide-0136596991.rar)
From the Back Cover
The Student Edition of SIMULINK v2 enables students to quickly build and test virtual prototypes to explore and study dynamic system concepts at any level of detail with minimal effort using block diagram modeling and simulation. This book includes an extensive library of predefined blocks which can be dragged-and-dropped in order to build dynamic system models, and features hierarchical models — providing concise and easy-to-follow high-level block diagrams along with easy-to-access model parameters. The Student Edition offers seamless integration with the Student Edition of MATLAB 5®. It thus offers an ideal environment for modeling, simulating, analyzing, and interpreting systems across a variety of diverse technical areas — e.g., electrical and mechanical engineering, chemical engineering, biology, economics, and financial systems. For engineering courses modeling complex systems, especially: controls, communications, system dynamics, signal processing.
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مدیریت:لینک خراب است