Description:
The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the "Handbook of Dynamic System Modeling" explores a panoply of different types of modeling methods available for dynamical systems. Featuring an interdisciplinary, balanced approach, the handbook focuses on both generalized dynamic knowledge and specific models. It first introduces the general concepts, representations, and philosophy of dynamic models, followed by a section on modeling methodologies that explains how to portray designed models on a computer. After addressing scale, heterogeneity, and composition issues, the book covers specific model types that are often characterized by specific visual- or text-based grammars. It concludes with case studies that employ two well-known commercial packages to construct, simulate, and analyze dynamic models. A complete guide to the fundamentals, types, and applications of dynamic models, this handbook shows how systems function and are represented over time and space and illustrates how to select a particular model based on a specific area of interest.
Table of Contents
1 |
|
The languages of dynamic system modeling by Paul A. Fishwick |
|
|
2 |
|
The dynamics of the computational modeling of analogy-making by Robert M. French |
|
|
3 |
|
Impact of the semantic Web on modeling and simulation by John A. Miller and Congzhou He and Julia I. Couto |
|
|
4 |
|
Systems engineering by Andrew P. Sage |
|
|
5 |
|
Basic elements of mathematical modeling by Clive L. Dym |
|
|
6 |
|
DEVS formalism for modeling of discrete-event systems by Tag Gon Kim |
|
|
7 |
|
Domain-specific modeling by Jeff Gray and Juha-Pekka Tolvanen and Steven Kelly and Aniruddha Gokhale and Sandeep Neema and Jonathan Sprinkle |
|
|
8 |
|
Agent-oriented modeling in simulation : agents for modeling, and modeling for agents by Adelinde M. Uhrmacher and Mathias Rohl |
|
|
9 |
|
Distributed modeling by Simon J. E. Taylor |
|
|
10 |
|
Model execution by Kalyan S. Perumalla |
|
|
11 |
|
Discrete-event simulation of continuous systems by James Nutaro |
|
|
12 |
|
Toward a multimodel hierarchy to support multiscale simulation by Mark S. Shephard and E. Seegyoung Seol and Benjamin FrantzDale |
|
|
13 |
|
Finite elements by Marc Hoit and Gary Consolazio |
|
|
14 |
|
Multimodeling by Minho Park and Paul A. Fishwick and Jinho Lee |
|
|
15 |
|
Hybrid dynamic systems : modeling and execution by Pieter J. Mosterman |
|
|
16 |
|
Theory and practice for simulation interconnection : interoperability and composability in defense simulation by Ernest H. Page |
|
|
17 |
|
Ordinary differential equations by Francisco Esquembre and Wolfgang Christian |
|
|
18 |
|
Difference equations as discrete dynamical systems by Hassan Sedaghat |
|
|
19 |
|
Process algebra by J. C. M. Baeten and D. A. van Beek and J. E. Rooda |
|
|
|
|
More... |