Student Edition of SIMULINK v2 User's Guide

Dabney, James B.; Harman, Thomas L.; Inc., MathWorks

ISBN 10: 0136596991 / ISBN 13: 9780136596998

Published by Prentice Hall, 1997

About this Item

The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Seller Inventory # BSM.18AY8

Bibliographic Details

• Title: Student Edition of SIMULINK v2 User's Guide
• Publisher: Prentice Hall
• Publication Date: 1997
• Language: English
• ISBN 10: 0136596991
• ISBN 13: 9780136596998
• 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.