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E-grāmata: Simulation Engineering: Build Better Embedded Systems Faster

  • Formāts: 303 pages
  • Izdošanas datums: 15-Aug-2001
  • Izdevniecība: R & D
  • Valoda: eng
  • ISBN-13: 9781482280722
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Simulation Engineering: Build Better Embedded Systems FasterPalielināt
  • Formāts: 303 pages
  • Izdošanas datums: 15-Aug-2001
  • Izdevniecība: R & D
  • Valoda: eng
  • ISBN-13: 9781482280722
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Build complex embedded systems faster and with lower costs by: * Knowing when and how much simulation testing is appropriate * Applying engineering methods to simulation design and development * Using the best tools available to develop simulations. * Va

Learn when and how to use simulation methods. The range of important techniques are presented, beginning with the fundamentals of mathematical models and progressing through producing useful results, analyzing the data and validating the models. Each chapter provides step-by-step instructions for developing a working simulation.

Build complex embedded systems faster and with lower costs by: * Knowing when and how much simulation testing is appropriate * Applying engineering methods to simulation design and development * Using the best tools available to develop simulations. * Va
Preface ix
Simulation Engineering
1(20)
Introduction
1(1)
Embedded Systems
2(2)
Simulation
4(1)
Complex Products
5(2)
Short Development Cycle
7(1)
Improved Quality
8(1)
Lower Total Cost
9(2)
Resistance Against Simulation
11(1)
Simulation Planning
12(3)
The Waterfall Development Model
12(1)
The Iterative Development Model
13(2)
Source Code and Examples
15(4)
Dynamic System Simulation Library
15(3)
Simulink Examples
18(1)
Chapter Overview
19(2)
Modeling Dynamic Systems
21(52)
Introduction
21(1)
Dynamic Systems
22(6)
Continuous-Time Systems
22(5)
Discrete-Time Systems
27(1)
Mathematical Modeling
28(3)
Level of Model Complexity
30(1)
Modeling Methods
31(22)
Physics-Based Modeling: A Simple Pendulum Example
31(4)
Linearization of Nonlinear Models
35(2)
Empirical Modeling
37(16)
Rigid Body Motion in Three-Dimensional Space
53(11)
Two-Dimensional Motion
54(1)
Three-Dimensional Motion
55(9)
Stochastic Systems
64(9)
Exercises
69(4)
Non-Real-Time Simulation
73(30)
Introduction
73(1)
The User Interface
74(1)
Model Issues
74(1)
Configuration Management
75(1)
Integration Algorithms
76(19)
Euler Integration Algorithms
77(2)
Higher Order Implicit Integration Algorithms
79(1)
Adams-Bashforth Integration Algorithms
80(2)
Runge-Kutta Integration Algorithms
82(1)
Variable Step Size Integration Algorithms
83(1)
Integration Errors
84(7)
Integration Algorithm Stability
91(2)
Stiff Systems
93(1)
Combined Discrete-Continuous Systems
94(1)
Initial Conditions, Driving Signals, and Stopping Conditions
95(1)
Data Collection and Storage
96(7)
Exercises
98(5)
HIL Simulation
103(32)
Introduction
103(2)
HIL Simulation Design
105(2)
Real-Time Simulation
107(1)
HIL Simulation Implementation
108(4)
Non-Real-Time Operations
108(2)
Short Integration Step Times
110(1)
Slow Model Algorithms
111(1)
Slow Simulation Processor
112(1)
Analog I/O Error Sources
112(6)
Aliasing
113(3)
DAC Zero-Order Hold
116(2)
Computing Hardware and I/O Devices
118(1)
HIL Simulation Software Structure
119(2)
Multiframing
121(7)
Multiframing in a Single Task with No Fast-Frame I/O
122(2)
Multiframing in a Single Task with Fast-Frame I/O
124(2)
Multiframing Using Multiple Tasks
126(2)
Integrating and Debugging HIL Simulations
128(3)
When to Use HIL Simulation
131(4)
Exercises
132(3)
Distributed Simulation
135(38)
Introduction
135(2)
TCP/IP
137(4)
TCP/IP Transport Protocols
139(2)
Protocols for Distributed Simulation
141(2)
Communication Latency and Jitter
143(2)
The HLA Standard
145(4)
Internet Game Protocols
149(1)
Real-time Simulation Protocol
149(24)
RTSP Example Federation
152(18)
Exercises
170(3)
Data Visualization and Analysis
173(30)
Introduction
173(1)
Immediate Displays
174(3)
Plotting Tools
177(1)
Animation
178(1)
Automated Analysis and Reporting
179(2)
Data Analysis Techniques
181(22)
Example Simulation
181(3)
Graphical Techniques
184(7)
Theil Inequality Coefficient
191(2)
Example Application of the Theil Inequality Coefficient
193(8)
Exercises
201(2)
Verification, Validation, and Accreditation
203(20)
Introduction
203(3)
Verification and Validation
206(12)
Informal Verification Techniques
206(3)
Static Verification Techniques
209(2)
Dynamic Verification and Validation Techniques
211(7)
Accreditation
218(1)
VV&A Plans and Reports
219(4)
Exercises
221(2)
Simulation Throughout the Development Cycle
223(16)
Introduction
223(1)
Requirements Definition
223(3)
Preliminary Design
226(1)
Detailed Design
227(2)
Prototype Development and Testing
229(5)
Product Upgrades
234(2)
Fielded System Problem Analysis
236(3)
Exercises
237(2)
Simulation Tools
239(46)
Desired Simulation Tool Characteristics
240(1)
Dynamic System Simulation Products
241(39)
C++/DSSL
241(8)
MATLAB/Simulink
249(8)
VisSim
257(6)
MATRIXX SystemBuild
263(8)
20-sim
271(9)
Other Software Tools
280(2)
DESIRE
280(1)
Dymola
280(1)
EASY5
280(1)
SD/FAST
281(1)
EngineSim
281(1)
Real-Time Simulation Computing Systems
282(3)
ADI Simsystem
282(1)
dSpace
282(1)
Exercises
282(3)
Glossary 285(8)
Appendix A Answers to Selected Exercises 293(2)
Chapter 2
293(1)
Chapter 3
294(1)
Chapter 6
294(1)
Index 295
Jim Ledin, P.E., is an electrical engineer providing simulation-related consulting services. Over the past 18 years, he has worked on all phases of non-real-time and hardware-in-the-loop (HIL) simulation in support of the testing and evaluation of air-to-air and surface-to-air missile systems at the Naval Air Warfare Center in Point Mugu, Calif. He also served as the principal simulation developer for three HIL simulation laboratories for the NAWC. Jim has presented at ADI User Society international meetings and the Embedded Systems Conference, and has written for Embedded Systems Programming magazine and Dr. Dobb's Journal. He can be reached at jim@ledin.com or through the Ledin Engineering Web site at www.ledin.com.
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