System modeling and simulation

System modeling and simulation /

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Singh, V. P., Dr
Format: Electronic eBook
Language:English
Published: New Delhi : New Age International (P) Ltd., Publishers, 2009
Subjects:
System theory > Mathematical models.
System analysis > Mathematical models.
Local Note:ProQuest Ebook Central
Table of Contents:
  • Cover
  • Preface
  • Contents
  • Chapter 0 What is a System
  • Chapter 1 Modeling and Simulation
  • 1.1 Physical Models
  • 1.2 Mathematical Models
  • 1.2.1 Static Mathematical Models
  • 1.2.2 Costing of a Combat Aircraft
  • 1.2.3 A Static Marketing Model
  • 1.2.4 Student Industrial Training Performance Model
  • 1.3 Computer Models
  • 1.3.1 Runway Denial using BCES Type Warhead
  • 1.3.2 Distributed Lag Models-Dynamic Models
  • 1.4 Cobweb Models
  • 1.5 Simulation
  • 1.5.1 Monte Carlo Simulation
  • Chapter 2 Probability as Used in Simulation
  • 2.1 Basic Probability Concepts 2.1.1 Sample Point
  • 2.1.2 Sample Space
  • 2.1.3 Event
  • 2.1.4 Universal Set
  • 2.1.5 Set Operations
  • 2.1.6 Statistical Independence
  • 2.1.7 Mutual Exclusivity
  • 2.1.8 The Axioms of Probabilities
  • 2.1.9 Conditional Probabilities
  • 2.2 Discrete Random Variable
  • 2.3 Expected Value and Variance of a Discrete Random Variable
  • 2.3.1 Some Theorems on Expected Value
  • 2.3.2 Variance
  • 2.3.3 Some Theorems on Variacne
  • 2.4 Measure of Probability Function
  • 2.4.1 Central Tendency
  • 2.4.2 Median
  • 2.5 Some Important Distribution Functions 2.5.1 Cumulative Distribution Function
  • 2.5.2 Uniform Distribution Function
  • 2.5.3 Binomial Distribution Function
  • 2.5.4 Poisson's Distribution
  • 2.6 Continuous Random Variable
  • 2.7 Exponential Distribution
  • 2.7.1 Gamma Distribution Function
  • 2.7.2 Erlang Density Function
  • 2.8 Mean and Variance of Continuous Distribution
  • 2.9 Normal Distribution
  • 2.9.1 Properties of Normal Distribution Curve
  • 2.9.2 Cumulative Density Distribution Function of Normal Distribution
  • 2.9.3 An Experiment for the Demonstration of Normal Distribution Function 2.9.4 Example of Dispersion Patterns
  • 2.9.5 Estimation of Dispersion
  • 2.10 Circular Probable Error (CEP) and the Probable Error (PE)
  • 2.10.1 Range and Deflection Probable Errors
  • 2.10.2 Probability of Hitting a Circular Target
  • Appendix 2.1
  • Chapter 3 An Aircraft Survivability Analysis
  • 3.1 Susceptibility of an Aircraft
  • 3.2 Threat Evaluation
  • 3.3 Susceptibility Assessment (Modeling & Measures)
  • 3.3.1 Aircraft Detection and Tracking
  • 3.3.2 Probability of Detection 3.3.3 Infra-red, Visual and Aural Detection
  • 3.4 Vulnerability Assessment
  • 3.5 Vulnerability Due to Non-Explosive Penetrator
  • 3.5.1 Case of Multiple Failure Mode
  • 3.6 Case of Non-Redundant Components with Overlap
  • 3.6.1 Area with Overlap and Engine Fire
  • 3.6.2 Redundant Components with no Overlap
  • 3.6.3 Redundant Components with Overlap
  • Chapter 4 Discrete Simulation
  • 4.1 Generation of Uniform Random Numbers
  • 4.1.1 Properties of Random Numbers
  • 4.1.2 Congruential or Residual Generators

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