Feedback control systems : the MATLAB/Simulink approach / Farzin Asadi, Robert E. Bolanos, Jorge Rodríguez.

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Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references.

1. Introduction to MATLAB -- 1.1. Introduction -- 1.2. Different parts of MATLAB -- 1.3. MATLAB's editor -- 1.4. MATLAB's help system -- 1.5. MATLAB's keywords -- 1.6. MATLAB's toolboxes -- 1.7. Variables -- 1.8. Basic operators -- 1.9. Logical operators -- 1.10. Trigonometrics functions -- 1.11. Logarithmic and exponential functions -- 1.12. Complex numbers functions -- 1.13. Rounding functions -- 1.14. Remainder MATLAB -- 1.15. Matrixes in matlab -- 1.16. Commands : rand, ones, zeros, eye -- 1.17. The colon operator -- 1.18. Logspace and linspace commands -- 1.19. Operation with matrices -- 1.20. Finding polynomial roots -- 1.21. Product of two polynomials -- 1.22. Solution of linear systems of equations -- 1.23. Solution of nonlinear systems of equations -- 1.24. Solving differential equations -- 1.25. Differention and integration -- 1.26. Drawing diagrams with MATLAB -- 1.27. Drawing the graph of collected data -- 1.28. Drawing two or more data simultaneously -- 1.29. Drawing the frequency response

2. Commonly used commands in analysis of control systems -- 2.1. Introduction -- 2.2. Defining the transfer function -- 2.3. Impulse response of a system -- 2.4. Step response of a system -- 2.5. Drawing the frequency response of a system -- 2.6. Drawing the Nyquist diagram of a system -- 2.7. Root locus plot -- 2.8. Connecting the systems together

3. Introduction to Simulink -- 3.1. Introduction -- 3.2. Running the Simulink -- 3.3. Searching for blocks -- 3.4. Example 1 : Simulink of a RLC Circuit -- 3.5. Exporting the results to workspace -- 3.6. Example 2 : simulation in transfer functions -- 3.7. Example 3 : simulation of electric circuits with the aid of Simscap library -- 3.8. Example 4 : simulation of nonlinear systems -- 3.9. Subsystem -- 3.10. Function block -- 3.11. Example 5 : use of function block in the Simulink simulations -- 3.12. Simulation of discrete time systems -- 3.13. Example 6 : simulation of discrete time systems -- 3.14. Example 7 : simulation of discrete time systems -- 3.15. Showing two or more signals simultaneously -- 3.16. Simulation of a closed-loop control system in Simulink

4. Controller design in MATLAB -- 4.1. Introduction -- 4.2. PID controller design in MATLAB -- 4.3. Tuning the PID controllers inside the Simulink environment -- 4.4. Design of linear controllers with Sisotool (control system designer) -- 4.5. Loop shaping -- 4.6. Manual controller design

5. Introduction to system identification toolbox -- 5.1. Introduction -- 5.2. Illustrative example.

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Feedback control systems is an important course in aerospace engineering, chemical engineering, electrical engineering, mechanical engineering, and mechatronics engineering, to name just a few. Feedback control systems improve the system's behavior so the desired response can be achieved. The first course on control engineering deals with Continuous Time (CT) Linear Time Invariant (LTI) systems. Plenty of good textbooks on the subject are available on the market, so there is no need to add one more. This book does not focus on the control engineering theories as it is assumed that the reader is familiar with them, i.e., took/takes a course on control engineering, and now wants to learn the applications of MATLAB in control engineering. The focus of this book is control engineering applications of MATLAB for a first course on control engineering.

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Title from PDF title page (viewed on May 3, 2019).