Introduction to the Simulation of Dynamics Using Simulink

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A01=Michael A. Gray
Author_Michael A. Gray
Block Diagram Simulations
Category=GPFC
Category=UB
chaotic dynamics
Clock Block
Conguration Parameters
Constant Block
Dierential Equations
discrete models
dynamic simulation
dynamical systems
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Euler Method
finite difference equations
fixed-step solver
Global Truncation Error
Integrator Block
introductory Simulink simulation course
Laplace Transform
Le Hand Side
Local Truncation Error
mathematical modelling
Memory Block
nonperiodic dynamics
numerical integration algorithms
numerical solution methods
Ode
ordinary differential equations
Partial Dierential Equation
partial differential equations
periodic dynamics
population dynamics models
RK Method
Rst Order Equations
Runge Kutta Method
Scope Block
Simulation Diagram
simulation exercises
Simulink
Simulink Simulation
Step Size
Subsystem Block
Sum Block
system state analysis
Truncation Error
undergraduate engineering
variable-step solver

Product details

  • ISBN 9781439818978
  • Weight: 604g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Jul 2010
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Designed for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynamics Using Simulink® shows how to use the powerful tool of Simulink to investigate and form intuitions about the behavior of dynamical systems. Requiring no prior programming experience, it clearly explains how to transition from physical models described by mathematical equations directly to executable Simulink simulations.

Teaches students how to model and explore the dynamics of systemsStep by step, the author presents the basics of building a simulation in Simulink. He begins with finite difference equations and simple discrete models, such as annual population models, to introduce the concept of state. The text then covers ordinary differential equations, numerical integration algorithms, and time-step simulation. The final chapter offers overviews of some advanced topics, including the simulation of chaotic dynamics and partial differential equations.

A one-semester undergraduate course on simulationWritten in an informal, accessible style, this guide includes many diagrams and graphics as well as exercises embedded within the text. It also draws on numerous examples from the science, engineering, and technology fields. The book deepens students’ understanding of simulated systems and prepares them for advanced and specialized studies in simulation. Ancillary materials are available at http://nw08.american.edu/~gray

Michael A. Gray is an associate professor in the Department of Computer Science at American University in Washington, D.C.

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