Discrete-Time Adaptive Iterative Learning Control

From Model-Based to Data-Driven

, , ,

Éditeur :

Springer

Paru le : 2022-03-21

This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
126,59
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos


Éditeur

Collection
n.c

Parution
2022-03-21

Pages
206 pages

EAN papier
9789811904639

Ronghu Chi received the Ph.D. degree from Beijing Jiaotong University, Beijing China, in 2007. He was Visiting Scholar with Nanyang Technological University, Singapore, from 2011 to 2012 and Visiting Professor with University of Alberta, Edmonton, AB, Canada, from 2014 to 2015. In 2007, he joined Qingdao University of Science and Technology, Qingdao, China, and is currently a full professor in the School of Automation and Electronic Engineering. He served as various positions in international conferences and was an invited guest editor of International Journal of Automation and Computing. He has also served as a council member of a Shandong Institute of Automation and the deputy director of the technical committee of Data-driven Control, Learning and Optimization Professional Committee, etc. He was awarded the “Taishan scholarship” in 2016. His current research interests include iterative learning control, data-driven control, intelligent transportation systems and so on. He has published over 100 papers in important international journals and conference proceedings.Na Lin received the M.Sc. degree in automatic control from the Qingdao University of Science and Technology, Qingdao, China, in 2017, where she is currently pursuing the Ph.D. degree in automatic control with the Institute of Artificial Intelligence and Control, School of Automation and Electronic Engineering. Her current research interests include data-driven control and iterative learning control.Huimin Zhang received the bachelor's degree in electrical engineering and automation from University of Jinan, Jinan, Shandong, China, in 2017. She is currently pursuing the doctoral degree with the Institute of Artificial Intelligence and Control, School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China. Her research interests include data-driven control, iterative learning control, networked system control, and data quantization methods.Ruikun Zhang received his B.S. and M.S. degrees in applied mathematics from Qingdao University, Qingdao, China, in 2003 and Zhejiang University, Hangzhou, China, in 2006, respectively. In 2006, he joined Qingdao University of Science and Technology and is currently an associate professor in the school of mathematics and physics. In 2016, he received the Ph.D. degree from Beijing Jiaotong University, Beijing China. His research interests include iterative learning control, robust control, and adaptive control.

Caractéristiques détaillées - droits

EAN PDF
9789811904646
Prix
126,59 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
3758 Ko
EAN EPUB
9789811904646
Prix
126,59 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
31212 Ko

Suggestions personnalisées