Logo

Synchronization and Linearity: An Algebra for Discrete Event Systems

Large book cover: Synchronization and Linearity: An Algebra for Discrete Event Systems

Synchronization and Linearity: An Algebra for Discrete Event Systems
by

Publisher: John Wiley & Sons
ISBN/ASIN: 047193609X
ISBN-13: 9780471936091
Number of pages: 501

Description:
This text presents new modelling and analysis techniques for the description of discrete event dynamic systems, emphasizing timing and synchronization aspects. Created within the text is a calculus which allows the derivation of analytical tools for computing the time behavior of this type of dynamic system.

Home page url

Download or read it online for free here:
Download link
(4.1MB, PDF)

Similar books

Book cover: Simulating Humans: Computer Graphics Animation and ControlSimulating Humans: Computer Graphics Animation and Control
by - Oxford University Press, USA
This volume presents the problem of providing a surrogate or synthetic human for designers and engineers. The book is intended for engineers interested in understanding how a computer surrogate human can augment their analyses of designed environments.
(23662 views)
Book cover: Modelling and SimulationModelling and Simulation
by - InTech
This book collects research studies concerning modeling and simulation of physical systems in a very wide range of applications: micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, etc.
(15742 views)
Book cover: Fuzzy SystemsFuzzy Systems
by - InTech
This book is intended to present fuzzy logic systems and useful applications with a simple approach. It is written at a level suitable for use in a graduate course on applications of fuzzy systems in decision support, nonlinear modeling and control.
(11791 views)
Book cover: Computer Simulation Techniques - The Definitive IntroductionComputer Simulation Techniques - The Definitive Introduction
by - NC State University
The generation of pseudo-random numbers, the generation of stochastic variates, simulation designs, estimation techniques for analyzing endogenously created data, validation of a simulation model, variance reduction techniques, etc.
(16496 views)