Image-based and Fractional-order Control for Mechatronic Systems: Theory and Applications With Matlab - Rilegato

Copot, Cosmin; Ionescu, Clara Mihaela; Muresan, Cristina I.

Rilegato

ISBN 10: 3030420051 ISBN 13: 9783030420055

Casa editrice: Springer Nature, 2020

Riassunto

This book unites two fast-developing forms of control—vision-based control and fractional-order control—and applies them in mechatronic systems.

Image-Based and Fractional-Order Control for Mechatronic Systems is presented in two parts covering the theory and applications of the subject matter. The theoretical material presents the concepts of visual servoing and image-based feature extraction for feedback loops and fractional-order control. It discusses a range of systems from the classic monocular camera to new RGB-D sensors. The applications part of the book first discusses practical issues with the implementation of fractional-order control, comparing them with more traditional integer-order PID systems. The authors then introduce real-life examples such as a manipulator robot and a Stewart platform and results generated from such systems.

MATLAB® functions and source codes are included wherever relevant to help readers develop simulations based on the theoretical ideas and practical examples in the text. Suggestions for the use of other pertinent open-source software are also indicated with the places where such may be obtained.

With its combination of theoretical ideas and practical examples, Image-Based and Fractional-Order Control for Mechatronic Systems will be of interest to academic researchers looking to develop the fields of vision-based and fractional-order control and to engineers who are looking for developments that will help them provide closer control of their plants than can be achieved with integer-order PID.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Su questo libro

Informazioni sull?autore

Cosmin Copot is a post-doctoral researcher at Antwerp University. He received his PhD from Gh. Asachi University, Iasi, Romania in 2011.

Clara Ionescu is a tenured professor at Ghent University; she earned her doctorate (in applied sciences: biomedical engineering).

Cristina Muresan obtained her PhD in automatic control from the Technical University of Cluj-Napoca, Romania in 2011 and is now a professor in the same university.

The authors are all established scholars and have complementary expertise. They are recognized internationally in their field of expertise and are actively involved in the control engineering community as scientific event organizers (conferences, special sessions, invited tracks, special journal issues, etc.). They are members of various IEEE and IFAC technical committees. The authors have numerous papers and citations in Web of Science and are co-authors of technical patents.

Dalla quarta di copertina

This book unites two fast-developing forms of control vision-based control and fractional-order control and applies them in mechatronic systems.

Image-Based and Fractional-Order Control for Mechatronic Systems is presented in two parts covering the theory and applications of the subject matter. The theoretical material presents the concepts of visual servoing and image-based feature extraction for feedback loops and fractional-order control. It discusses a range of systems from the classic monocular camera to new RGB-D sensors. The applications part of the book first discusses practical issues with the implementation of fractional-order control, comparing them with more traditional integer-order PID systems. The authors then introduce real-life examples such as a manipulator robot and a Stewart platform and results generated from such systems.

MATLAB® functions and source codes are included wherever relevant to help readers develop simulations based on the theoretical ideas and practical examples in the text. Suggestions for the use of other pertinent open-source software are also indicated with the places where such may be obtained.

With its combination of theoretical ideas and practical examples, Image-Based and Fractional-Order Control for Mechatronic Systems will be of interest to academic researchers looking to develop the fields of vision-based and fractional-order control and to engineers who are looking for developments that will help them provide closer control of their plants than can be achieved with integer-order PID.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2020
• ISBN 10: 3030420051
• ISBN 13: 9783030420055
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 216
• Contatto del produttore: non disponibile