Advanced Dynamic-System Simulation (PDF)
Model Replication and Monte Carlo Studies
(Sprache: Englisch)
A unique, hands-on guide to interactive modeling and
simulation of engineering systems
This book describes advanced, cutting-edge techniques for
dynamic system simulation using the DESIRE modeling/simulation
software package. It offers detailed...
simulation of engineering systems
This book describes advanced, cutting-edge techniques for
dynamic system simulation using the DESIRE modeling/simulation
software package. It offers detailed...
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A unique, hands-on guide to interactive modeling and
simulation of engineering systems
This book describes advanced, cutting-edge techniques for
dynamic system simulation using the DESIRE modeling/simulation
software package. It offers detailed guidance on how to implement
the software, providing scientists and engineers with powerful
tools for creating simulation scenarios and experiments for such
dynamic systems as aerospace vehicles, control systems, or
biological systems.
Along with two new chapters on neural networks, Advanced
Dynamic-System Simulation, Second Edition revamps and updates
all the material, clarifying explanations and adding many new
examples. A bundled CD contains an industrial-strength version of
OPEN DESIRE as well as hundreds of program examples that readers
can use in their own experiments. The only book on the market to
demonstrate model replication and Monte Carlo simulation of
real-world engineering systems, this volume:
* Presents a newly revised systematic procedure for
difference-equation modeling
* Covers runtime vector compilation for fast model replication on
a personal computer
* Discusses parameter-influence studies, introducing very fast
vectorized statistics computation
* Highlights Monte Carlo studies of the effects of noise and
manufacturing tolerances for control-system modeling
* Demonstrates fast, compact vector models of neural networks for
control engineering
* Features vectorized programs for fuzzy-set controllers, partial
differential equations, and agro-ecological modeling
Advanced Dynamic-System Simulation, Second Edition is a
truly useful resource for researchers and design engineers in
control and aerospace engineering, ecology, and agricultural
planning. It is also an excellent guide for students using
DESIRE.
simulation of engineering systems
This book describes advanced, cutting-edge techniques for
dynamic system simulation using the DESIRE modeling/simulation
software package. It offers detailed guidance on how to implement
the software, providing scientists and engineers with powerful
tools for creating simulation scenarios and experiments for such
dynamic systems as aerospace vehicles, control systems, or
biological systems.
Along with two new chapters on neural networks, Advanced
Dynamic-System Simulation, Second Edition revamps and updates
all the material, clarifying explanations and adding many new
examples. A bundled CD contains an industrial-strength version of
OPEN DESIRE as well as hundreds of program examples that readers
can use in their own experiments. The only book on the market to
demonstrate model replication and Monte Carlo simulation of
real-world engineering systems, this volume:
* Presents a newly revised systematic procedure for
difference-equation modeling
* Covers runtime vector compilation for fast model replication on
a personal computer
* Discusses parameter-influence studies, introducing very fast
vectorized statistics computation
* Highlights Monte Carlo studies of the effects of noise and
manufacturing tolerances for control-system modeling
* Demonstrates fast, compact vector models of neural networks for
control engineering
* Features vectorized programs for fuzzy-set controllers, partial
differential equations, and agro-ecological modeling
Advanced Dynamic-System Simulation, Second Edition is a
truly useful resource for researchers and design engineers in
control and aerospace engineering, ecology, and agricultural
planning. It is also an excellent guide for students using
DESIRE.
Autoren-Porträt von Granino A. Korn
GRANINO A. KORN, PhD, is Professor of Electrical and Computer Engineering at the University of Arizona and a partner with G.A. and T.M. Korn Industrial Consultants, a company that designs systems for interactive simulation of dynamic systems and neural networks. He is the author of fifteen books, a Fellow of the IEEE, and the recipient of several awards for his work on computer simulation.
Bibliographische Angaben
- Autor: Granino A. Korn
- 2013, 2. Auflage, 280 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118527461
- ISBN-13: 9781118527467
- Erscheinungsdatum: 06.02.2013
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