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Full Description
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.
Contents
1. Lecture 1 - Automatic control 2. Lecture 2 - Mathematical models 3. Lecture 3 - Brief introduction to MATLABr 4. Lecture 4 - Laplace transform 5. Lecture 5 - Continuous-time linear systems 6. Lecture 6 - Equilibrium points and stability of continuous
LTI systems 7. Lecture 7 - The transfer function 8. Lecture 8 - System aggregates 9. Lecture 9 - Reachability and observability of continuous time linear systems 10. Lecture 10 - Time-domain speci□cations 11. Lecture 11 - Frequency response and Bode diagrams 12. Lecture 12 - Closed-loop stability 13. Lecture 13 - Discrete-time systems: time-domain analysis 14. Lecture 14 - The z-transform and the design of discrete-time control systems 15. Lecture 15 - Controller design: steady-state performance 16. Lecture 16 - Controller design: transient performance 17. Lecture 17 - Controller design: complete procedure and examples 18. Lecture 18 - PID controllers 19. Lecture 19 - Linear state regulator and linear observer 20. Lecture 20 - Concluding remarks A. Appendix A - Examination test
