A reading guide for this book.

Chapter 65438 +0 Computer Simulation Technology Foundation

1. 1 Start with the real question.

1.2 system and its classification

1.2. 1 the concept of the system

1.2.2 The concept of system environment

Random concept in 1.2.3 system

1.2.4 continuous system and discrete event system

Concept and classification of 1.3 system model

1.3. 1 the concept of system model

1.3.2 classification of system models

1.4 system modeling in computer simulation

1.4. 1 Conception of building module

1.4.2 principles of relevant information

1.4.3 principle of data accuracy

1.4.4 The principle of solid polymerization

1.5 definition of computer simulation

Simulation and analytical analysis of solving 1.5. 1

1.5.2 classification of computer simulation

1.5.3 Basic steps of computer system simulation

1.6 development of computer simulation technology

1.7 summary

Think about a problem

Chapter II System Modeling Method

2. 1 system and modeling

2. 1. 1 Formal description of system modeling method

2. 1.2 classification of mathematical model of system

2.2 System modeling method

2.2. 1 Function of system mathematical model

2.2.2 Basis for establishing system model

2.2.3 Reliability of system model

The way of system modeling

2.3 system identification

2.3. 1 Overview of system identification

Identification of dynamic systems

2.4 Practice of system modeling

2.4. 1 mechanical system modeling method

2.4.2 Modeling method of electrical system

2.4.3 System modeling method in continuous casting process

2.4.4 Curve fitting and interpolation processing of mechanical-electrical-magnetic experimental system

2.4.5 Curve fitting and steady-state value processing of experimental data

2.4.6 Ecosystem modeling method

2.4.7 Modeling example of identification method

2.5 Summary

Think about a problem

Chapter 3 Numerical Integration of Continuous Systems

3. 1 Basic principle of numerical integration method for continuous systems

3. 1. 1 Euler method

3. 1.2 Improved Euler Method

3. 1.3 Several Basic Concepts of Numerical Integration Method

3.2 Runge-Kutta Integral Method

3.2. Derivation of numerical integral formula of1Runge-Kutta

3.2.2 Vector formula of fourth-order Runge-Kutta method

3.3 Linear multi-step method

3.3. 1 ADAMS explicit formula

3.3.2 Adams implicit formula

3.3.3 Adams predictive correction method

3.4 numerical integration stability analysis

3.4. 1 Meaning of numerical solution stability

stability analysis

3.5 Selection of numerical integration method and determination of calculation step size

3.5. 1 integration method selection

Determination of integral step size

3.5.3 Error Estimation and Step Control

3.6 Summary

Think about a problem

Chapter 4 Discrete Event System Simulation

Chapter 5 Object-oriented Simulation

Chapter 6 High-level Architecture

The seventh chapter is the realization of embedded simulation system and optimization simulation system for tandem cold rolling.

Chapter 8 Verification, Verification and Identification of Simulation Model

Chapter 10 hot metal transportation simulation system

Chapter 1 1 Application of Real-time Simulation System for Servo Control

Chapter 12 modeling and simulation based on MATLAB/Simulink

refer to