Read more
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.
List of 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
About the author
Arturo Buscarino graduated in Computer Science Engineering in 2004 and earned his Ph.D. in Electronics and Automation Engineering in 2008, from the University of Catania, Italy. Currently, he is a Technical Assistant at the University of Catania and teaches Modeling and Optimization at the Laura Magistrale in Management Engineering. He collaborates with the EUROFusion Consortium, ENEA Frascati, and JET Culham, UK. Dr. Buscarino has been a visiting researcher at the University of Wisconsin-Madison, US. His scientific interests include nonlinear circuits and systems, chaos and synchronization, complex networks, control systems, Cellular Nonlinear Networks, and plasma engineering. He is Associate Editor of
Cogent Engineering. Dr. Buscarino has published one research monography on nonlinear circuits, and more than 60 papers on refereed international journals and international conference proceedings.
Luigi Fortuna earned a degree in electrical engineering (cum laude) from the University of Catania, Italy, in 1977. He is a Full Professor of System Theory at the University of Catania. From 2005 to 2012, he was the Dean of the Engineering Faculty. He has been a visiting researcher at the Joint European Torus in Abingdon UK. He currently teaches complex adaptive systems and robust control. He has published 14 scientific books and 12 industrial patents. Dr. Fortuna has been a consultant of STMicroelectronics and other companies. He is the Editor in Chief of the SpringerBriefs Series on Nonlinear Circuits. His scientific interests include robust control, Tokamak machine control, complex engineering, nonlinear circuits, chaos, cellular neural networks, robotics, and smart devices for control. Additionally, he is an IEEE Fellow.
Mattia Frasca graduated in Electronics Engineering in 2000 and earned his Ph.D. in Electronics and Automation Engineering in 2003, from the University of Catania, Italy. Currently, he is a research associate at the University of Catania, where he also teaches process control. His scientific interests include nonlinear systems and chaos, complex networks, and bio-inspired robotics. He is Associate Editor of the
International Journal of Bifurcations and Chaos, and Editor of
Chaos, Solitons and Fractals. He is the general chair for the next edition of the European Conference on Circuits Theory and Design to be held in Catania. Additionally, he is co-author of one research monograph with Springer, three with World Scientific, and one book on Optimal and robust control with CRC Press. Dr. Frasca has published more than 250 papers on refereed international journals and international conference proceedings and is co-author of two international patents. He is an IEEE Senior and also a member of the Board of the Italian Society for Chaos and Complexity (SICC).
