Iterative Learning Control for Equations with Fractional Derivatives and Impulses - Jinrong Wang, Shengda Liu, Michal Fečkan

Iterative Learning Control for Equations with Fractional Derivatives and Impulses (eBook)

Jinrong Wang, Shengda Liu, Michal Fečkan (Autoren)

eBook Download: PDF

2021 | 1st ed. 2022
XI, 256 Seiten
Springer Singapore (Verlag)
978-981-16-8244-5 (ISBN)

This book introduces iterative learning control (ILC) and its applications to the new equations such as fractional order equations, impulsive equations, delay equations, and multi-agent systems, which have not been presented in other books on conventional fields. ILC is an important branch of intelligent control, which is applicable to robotics, process control, and biological systems. The fractional version of ILC updating laws and formation control are presented in this book. ILC design for impulsive equations and inclusions are also established. The broad variety of achieved results with rigorous proofs and many numerical examples make this book unique.

This book is useful for graduate students studying ILC involving fractional derivatives and impulsive conditions as well as for researchers working in pure and applied mathematics, physics, mechanics, engineering, biology, and related disciplines.

JinRong Wang has been Professor in the Department of Mathematics at the School of Mathematics and Statistics at Guizhou University, People's Republic of China, since 2011. He received his master's degree from Guizhou University in 2006 and Ph.D. from the same university in 2009. He is interested in impulsive differential equations, fractional differential equations, delay differential equations, iterative learning controls, multi-agent systems, atmospheric Ekman flows and Antarctic Circumpolar Current. Since 2015, he has been listed in the Highly Cited Researcher in Mathematics.

Shengda Liu received the B. S. with the major of mathematics from the School of Mathematical Sciences, Harbin Normal University, Harbin, China, in 2012, and the M. S. and Ph. D. with the major of applied mathematics from the School of Mathematics and Statistics, Guizhou University, Guiyang, China, in 2016 and 2019, respectively. He is currently a post-doctoral fellow at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. His current research interests include iterative learning control, fractional order equation and control theory and its application in rehabilitation robots.

Michal Feckan has been a Professor of Mathematics at the Department of Mathematical Analysis and Numerical Mathematics in the Faculty of Mathematics, Physics and Informatics at the Comenius University in Bratislava, Slovak Republic since 2003. He received the master's degree (mathematics) from Comenius University in Bratislava in 1985 and PhD (mathematics) from the Mathematical Institute of Slovak Academy of Sciences in Bratislava, Slovak Republic in 1993. He is interested in nonlinear functional analysis, bifurcation theory, dynamical systems and fractional calculus with applications to mechanics, vibrations and economics.

Erscheint lt. Verlag	10.12.2021
Reihe/Serie	Studies in Systems, Decision and Control
Reihe/Serie	Studies in Systems, Decision and Control
Zusatzinfo	XI, 256 p. 97 illus., 86 illus. in color.
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Analysis
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Naturwissenschaften
	Technik ► Bauwesen
	Technik ► Elektrotechnik / Energietechnik
Schlagworte	differential inclusions • fractional equations • Impulsive equations • Iterative Learning Control • Multi-agent Systems
ISBN-10	981-16-8244-5 / 9811682445
ISBN-13	978-981-16-8244-5 / 9789811682445

Haben Sie eine Frage zum Produkt?

PDF (Wasserzeichen)
Größe: 5,8 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Print-Ausgabe

Buch | Hardcover

128,39 €