Description
Book SynopsisSystem Simulation Techniques with MATLAB and Simulink comprehensively explains how to use MATLAB and Simulink to perform dynamic systems simulation tasks for engineering and non-engineering applications.
Table of ContentsForeword xiiiPreface xv1 Introduction to System Simulation Techniques and Applications 11.1 Overview of System Simulation Techniques 1
1.2 Development of Simulation Software 2
1.3 Introduction to MATLAB 5
1.4 Structure of the Book 7
Exercises 9
References 9
2 Fundamentals of MATLAB Programming 112.1 MATLAB Environment 11
2.2 Data Types in MATLAB 13
2.3 Matrix Computations in MATLAB 16
2.5 Programming and Tactics of MATLAB Functions 23
2.6 Two-dimensional Graphics in MATLAB 27
2.7 Three-dimensional Graphics 33
2.8 Graphical User Interface Design in MATLAB 36
2.9 Accelerating MATLAB Functions 52
Exercises 60
References 63
3 MATLAB Applications in Scientific Computations 653.1 Analytical and Numerical Solutions 66
3.2 Solutions to Linear Algebra Problems 67
3.3 Solutions of Calculus Problems 85
3.4 Solutions of Ordinary Differential Equations 91
3.5 Nonlinear Equation Solutions and Optimization 110
3.6 Dynamic Programming and its Applications in Path Planning 120
3.7 Data Interpolation and Statistical Analysis 124
Exercises 136
References 142
4 Mathematical Modeling and Simulation with Simulink 1454.1 Brief Description of the Simulink Block Library 146
4.2 Simulink Modeling 159
4.3 Model Manipulation and Simulation Analysis 164
4.4 Illustrative Examples of Simulink Modeling 172
4.5 Modeling, Simulation and Analysis of Linear Systems 180
4.6 Simulation of Continuous Nonlinear Stochastic Systems 184
Exercises 188
References 191
5 Commonly Used Blocks and Intermediate-level Modeling Skills 1935.1 Commonly Used Blocks and Modeling Skills 193
5.2 Modeling and Simulation of Multivariable Linear Systems 202
5.3 Nonlinear Components with Lookup Table Blocks 209
5.4 Block Diagram Based Solutions of Differential Equations 217
5.5 Output Block Library 226
5.6 Three-dimensional Animation of Simulation Results 238
5.7 Subsystems and Block Masking Techniques 245
Exercises 260
References 264
6 Advanced Techniques in Simulink Modeling and Applications 2656.1 Command-line Modeling in Simulink 265
6.2 System Simulation and Linearization 272
6.3 S-function Programming and Applications 280
6.4 Examples of Optimization in Simulation: Optimal Controller Design Applications 296
Exercises 303
References 306
7 Modeling and Simulation of Engineering Systems 3077.1 Physical System Modeling with Simscape 308
7.2 Description of SimPowerSystems 318
7.3 Modeling and Simulation of Electronic Systems 322
7.4 Simulation of Motors and Electric Drive Systems 336
7.5 Modeling and Simulation of Mechanical Systems 346
Exercises 360
References 362
8 Modeling and Simulation of Non-Engineering Systems 3638.1 Modeling and Simulation of Pharmacokinetics Systems 363
8.2 Video and Image Processing Systems 376
8.3 Finite State Machine Simulation and Stateflow Applications 390
8.4 Simulation of Discrete Event Systems with SimEvents 408
Exercises 416
References 417
9 Hardware-in-the-loop Simulation and Real-time Control 4199.1 Simulink and Real-Time Workshop 419
9.2 Introduction to dSPACE and its Blocks 429
9.3 Introduction to Quanser and its Blocks 430
9.4 Hardware-in-the-loop Simulation and Real-time Control Examples 433
9.5 Low Cost Solutions with NIAT 439
9.6 HIL Solutions with Even Lower Costs 446
9.6.3 The MESABox 449
Exercises 450
References 451
Appendix: Functions and Models 453Index 459
