Birta / Arbez Modelling and Simulation

Exploring Dynamic System Behaviour
1. Auflage 2007
ISBN: 978-1-84628-622-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 454 Seiten, eBook

Overview Modelling and simulation is a tool that provides support for the planning, design, and evaluation of systems as well as the evaluation of strategies for system transformation and change. Its importance continues to grow at a remarkable rate, in part because its application is not constrained by discipline boundaries. This growth is also the consequence of the opportunities provided by the ever-widening availability of significant computing resources and the expanding pool of human skill that can effectively harness this computational power. However, the effective use of any tool and especially a multifaceted tool such as modelling and simulation involves a learning curve. This book addresses some of the challenges that lie on the path that ascends that curve. Consistent with good design practice, the development of this textbook began with several clearly defined objectives. Perhaps the most fundamental was the intent that the final product provide a practical (i.e., useful) introduction to the main facets of a typical modelling and simulation project. This objective was, furthermore, to include projects emerging from both the discrete-event and the continuous-time domains. In addition, the work was not to evolve into a treatise on any particular software tool, nor was it to be overly biased towards the statistical notions that play a key role in handling projects from the discrete-event domain.

Zielgruppe

Graduate

Autoren/Hrsg.

Birta, Louis G.

Arbez, Gilbert

Inhaltsverzeichnis

Fundamentals.- The Modelling and Simulation Process.- DEDS Modelling and Simulation.- DEDS Stochastic Behaviour and Data Modelling.- A Conceptual Modelling Framework for DEDS.- DEDS Simulation Model Development.- Experimentation and Output Analysis.- CTDS Modelling and Simulation.- Modelling of Continuous-Time Dynamic Systems.- Simulation with CTDS Models.- Optimisation.