User's Guide (The Student Edition of Simulink 2)

Mathworks, Inc.

ISBN 10: 0136596991 / ISBN 13: 9780136596998

Published by Pearson Education (US), 1997

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Seller Inventory # wbs6102513134

Bibliographic Details

Title: User's Guide (The Student Edition of ...

Publisher: Pearson Education (US)

Publication Date: 1997

Binding: Soft cover

Condition: Good

About this title

Synopsis:

A guide to MathWorks' modeling and simulation software package. Designed for use with MATLAB, SIMULINK allows students to explore realistic nonlinear models that account for friction, air resistance, gear slippage, and other real-world phenomena. This text covers running the package on different platforms, model building, continuous systems, discrete-time systems, subsystems, masking, numerical issues, and analysis tools built into the package. Appends a SIMULINK block library. Annotation c. by Book News, Inc., Portland, Or.

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.