Textbook in PDF format

This book is designed to explain the fundamental principles of automatic control through 20 lessons, each incorporating worked examples and MatLAB-based exercises to help readers effectively understand and apply the proposed methods. It offers a concise and accessible resource for learning automatic control, blending simplicity with clarity. Drawing on decades of teaching experience, the authors aim to provide an approachable introduction to the core concepts of the discipline, encouraging further exploration through independent study.
Integrates MatLAB within a 20-lesson framework.
Enhances learning by supporting both theoretical understanding and practical problem-solving.
Promotes critical thinking and problem-solving skills, essential competencies in today's AI-driven world.
Focuses on classical topics related to Single-Input Single-Output (SISO) linear continuous-time systems.
Provides introductory material on topics such as Multiple-Input Multiple-Output (MIMO) and discrete-time systems, serving as a bridge to more advanced studies.
By establishing a strong foundation in these areas, the book prepares readers to tackle complex challenges in modern automatic control and excel in future academic and professional endeavors. Primarily intended for undergraduate engineering students, the book is also suitable for a wider audience. As automatic control is a foundational subject across numerous academic programs, this resource equips readers with essential analytical tools and introduces key problems, fostering deeper insights into the subject.
The book primarily focuses on classical subjects related to SISO (Single-Input Single-Output) linear continuous-time systems. However, it also introduces additional topics that can serve as a gateway to understanding MIMO (Multiple-Input Multiple-Output) and discrete-time systems. Instead, nonlinear systems are not covered in this textbook. The book lays down fundamental principles that will enable readers to explore advanced topics in automatic control, such as optimal control and robust control. By establishing a solid foundation, the book prepares readers to tackle more complex concepts in the field, ensuring they are well-equipped for future studies and applications in modern automatic control. The book is organized to include many fundamental concepts of systems theory, which serve as prerequisites for understanding the main subjects of automatic control.
The authors designed this book to serve as a foundational resource for a course that can be offered before other key subjects such as electrical circuits, electronics, or signal processing. This strategic placement positions the book as a core reference for essential principles in engineering studies, broadening its appeal to a wide range of readers.
Preface.
Lecture (1-20).
Automatic control.
Mathematical models.
Brief introduction to MatLAB.
Laplace transform.
Continuous-time linear systems.
Equilibrium points and stability of continuous LTI systems.
The transfer function.
System aggregates.
Reachability and observability of continuous time linear systems.
Time-domain specifications.
Frequency response and Bode diagrams.
Closed-loop stability.
Discrete-time systems: time-domain analysis.
The z-transform and the design of discrete-time control systems.
Controller design: steady-state performance.
Controller design: transient performance.
Controller design: complete procedure and examples of a digital controller.
PID controllers.
Linear state regulator and linear observer.
Concluding remarks.
Appendix. Examination test