Basic MATLAB, Simulink and Stateflow [Kõva köide]

Preface		xiii
Acknowledgments		xv
Basic MATLAB®
Chapter 1. Introduction to MATLAB®		3
1.1 Introduction and Objectives		3
1.2 Entry		4
1.3 Transpose		5
1.4 Addition and Subtraction		5
1.5 Multiplication		7
1.6 Division		8
1.7 Formats		9
1.8 Matrix Functions		10
1.9 Colon Operator		13
1.10 Useful Interface GUIs		13
1.11 Conclusion		39
Chapter 2. Plotting and Graphics		43
2.1 Introduction and Objectives		43
2.2 Plot		43
2.3 Log and Semilog Plots		47
2.4 Polar Plots		47
2.5 Subplots		48
2.6 Axis		49
2.7 Mesh		51
2.8 Contour Diagrams		53
2.9 Flow Diagrams		55
2.10 Movies		56
2.11 Conclusion		58
Chapter 3. Introduction to MATLAB® Toolboxes		61
3.1 Introduction and Objectives		61
3.2 Continuous Transfer Functions		61
3.3 Root Locus		63
3.4 Step and Impulse Responses		64
3.5 Bode Plot		67
3.6 Nichols Chart		68
3.7 Nyquist Chart		68
3.8 Linear Quadratic Regulator		69
3.9 State-Space Design		70
3.10 Digital Design		85
3.11 Conclusion		92
Chapter 4. Introduction to MATLAB® Cells, Structures, and M-Files		95
4.1 Introduction and Objectives		95
4.2 Cells		95
4.3 Structures		97
4.4 M-Files		98
4.5 Conclusion		102
Chapter 5. Handle Graphics® and User Interfaces		105
5.1 Introduction and Objectives		105
5.2 Handle Graphics		105
5.3 Graphical User Interface Development Environment		112
5.4 Layout Editor		115
5.5 Property Inspector		117
5.6 Menu Editor		124
5.7 Compiling a Stand-Alone Executable		125
5.8 Conclusion		126
Chapter 6. Introduction to MATLAB® MEX-Files		129
6.1 Introduction and Objectives		129
6.2 Dynamically Linked Subroutines: MEX-Files		129
6.3 MATLAB® Engine Library		142
6.4 Conclusion		148
Basic Simulink®
Chapter 7. Brief Introduction to Simulink® and Stateflow®		153
7.1 Introduction and Objectives		153
7.2 Simulink®		153
7.3 Van der Pol Equation		153
7.4 Conditional System Model		158
7.5 Combined Simulink® and Stateflow® Systems		161
7.6 Model Comparison		166
7.7 F-14 Control System		169
7.8 Conclusion		172
Chapter 8. Introduction to Simulink®		175
8.1 Introduction and Objectives		175
8.2 Standard Simulink® Libraries		175
8.3 Simulink® Aerospace Blockset		191
8.4 Simulink® Installation and Demonstrations		194
8.5 Conclusion		205
Chapter 9. Building a Simple Simulink® Model		209
9.1 Introduction and Objectives		209
9.2 Population Model		209
9.3 Analyzing the Population Model		238
9.4 Conclusion		239
Chapter 10. Building Simulink® Linear Models		243
10.1 Introduction and Objectives		243
10.2 Transfer Function Modeling in Simulink®		243
10.3 Zero-Pole Model		254
10.4 State-Space Model		256
10.5 Conclusion		258
Chapter 11. LTI Viewer and SISO Design Tool		261
11.1 Introduction and Objectives		261
11.2 Introduction to the Simulink® LTI Viewer		261
11.3 Using the Simulink® LTI Viewer		262
11.4 Equivalent Simulink® LTI Models		283
11.5 SISO Design Tool		285
11.6 Conclusion		293
Chapter 12. Building a Multiple-Input, Multiple-Output Simulink® Model		297
12.1 Introduction and Objectives		297
12.2 System Modeling in Simulink®		297
12.3 Parameter Estimation		297
12.4 MATLAB® Simulation Interface		315
12.5 Subsystems, Masking, and Libraries		316
12.6 Vector Signals		323
12.7 Using Vector Signals for Math Functions		325
12.8 Conclusion		329
Chapter 13. Building Simulink® S-Functions		335
13.1 Introduction and Objectives		335
13.2 Simulink® S-Functions		335
13.3 Simulink® C and S-Function Example, Van der Pol Equation		336
13.4 Simulink® C and S-Function Builder Example, Van der Pol Equation		342
13.5 Example of a FORTRAN S-Function		352
13.6 Example of a CMEX S-Function Gateway		354
13.7 Simulink® Block Diagram Using S-Function		358
13.8 Conclusion		360
Basic Stateflow®
Chapter 14. Introduction to Stateflow®		369
14.1 Introduction and Objectives		369
14.2 Opening, Executing, and Saving Stateflow° Models		369
14.3 Constructing a Simple Stateflow® Model		376
14.4 Using a Stateflow® Truth Table		410
14.5 Conclusion		421
Appendix A. History of MATLAB® and The MathWorks, Inc.		425
Appendix B. Tuning MATLAB®, Simulink®, and Stateflow® Solvers		429
B.1 Improving Simulation Performance and Accuracy		429
B.2 Selecting Solvers		432
B.3 Non-Real-Time and Real-Time Simulations		436
Appendix C. MATLAB®, Simulink®, and Stateflow® Quick Reference Guide		437
Bibliography		473
Index		477
Supporting Materials		485

Richard Colgren is an associate professor in aerospace engineering at The University of Kansas. He earned his Ph.D. in electrical engineering with a minor in aeronautical engineering and his M.S. from the University of Southern California. His B.S. in aeronautical and astronautical engineering is from The University of Washington. He spent 20 years at the Lockheed Martin Aeronautics Company and 2 years at the Northrop Corporation specializing in embedded software, flight control, piloted and UAV systems, cockpit procedures, flight test, and accident investigation. He is internationally recognized for his over 80 publications and 2 patents. He has taught numerous seminars, workshops, and courses in MATLAB, Simulink, linear systems theory, control and communication systems, computer architecture, UAV conceptual design, mathematics, and statistics.