Advanced Dynamic-System Simulation :Model Replication and Monte Carlo Studies

Publication subTitle :Model Replication and Monte Carlo Studies

Author: Granino A. Korn  

Publisher: John Wiley & Sons Inc‎

Publication year: 2013

E-ISBN: 9781118527467

P-ISBN(Hardback):  9781118397350

Subject: N945.1 System

Language: ENG

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Description

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.

Chapter

CONTENTS

pp.:  3 – 7

PREFACE

pp.:  7 – 15

CHAPTER 3 FAST VECTOR–MATRIX OPERATIONS AND SUBMODELS 57 ARRAYS, VECTORS, AND MATRICES

pp.:  47 – 73

CHAPTER 4 EFFICIENT PARAMETER-INFLUENCE STUDIES AND STATISTICS COMPUTATION

pp.:  73 – 93

CHAPTER 5 MONTE CARLO SIMULATION OF REAL DYNAMIC SYSTEMS

pp.:  93 – 125

CHAPTER 6 VECTOR MODELS OF NEURAL NETWORKS

pp.:  125 – 143

CHAPTER 7 DYNAMIC NEURAL NETWORKS

pp.:  143 – 193

CHAPTER 8 MORE APPLICATIONS OF VECTOR MODELS

pp.:  193 – 223

APPENDIX: ADDITIONAL REFERENCE MATERIAL

pp.:  223 – 261

USING THE BOOK CD

pp.:  261 – 267

INDEX

pp.:  267 – 269

LastPages

pp.:  269 – 277

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