Adaptive Nussbaum Design for Nonlinear Dynamical Systems

, ,

Éditeur :

Springer

Paru le : 2026-02-16

This book focuses on the challenges of stability analysis and control synthesis for nonlinear dynamical systems, including stochastic systems, multi-agent systems, and nonholonomic systmes. With the adaptive Nussbaum design, this book investigates the asymptotic stabilization problem for nonlinear s...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
147,69
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
2026-02-16

Pages
201 pages

EAN papier
9789819549962

Auteur(s) du livre


Yongliang Yang received the B.S. degree in electrical engineering from Hebei University, Baoding, China, in 2011, and the Ph.D. degree in control theory and control engineering from the University of Science and Technology Beijing (USTB), Beijing, China, in 2018. From 2015 to 2017, he was a Visiting Scholar with the Missouri University of Science and Technology, Rolla, MO, USA, sponsored by China Scholarship Council. He was an Assistant Professor with USTB from 2018 to 2020. From 2020, he was UM Macao Fellow with the State Key Laboratory of Internet of Things for Smart City, Faculty of Science and Technology, University of Macau. He was the Marie Sklodowska-Curie Research Fellow with the School of Engineering, University of Warwick from 2023. He is currently an Associate Professor with USTB. His research interests include reinforcement learning theory, robotics, distributed optimization and control for cyber-physical systems. He was a recipient of the Best Ph.D. Dissertation of the China Association of Artificial Intelligence, the Best Ph.D. Dissertation of USTB, Chancellor's Scholarship in USTB, Excellent Graduates Awards in Beijing, UM Macao Talent Program in Macau, and MSCA Fellowship in Europe. He is an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems. Guilong Liu received the B.E. degree in automation in 2022 and the M.E. degree in control science and technology in 2025 from University of Science and Technology Beijing, Beijing, China. His current research interests include intelligent control for robots.   Qing Li received the B.E. degree in industrial electrical automation from the North China University of Science and Technology, Tangshan, China, in 1993, and the Ph.D. degree in control theory and its applications from the University of Science and Technology Beijing, Beijing, China, in 2000. He is currently a Professor with the School of Automation and Electrical Engineering, University of Science and Technology Beijing. He has been a Visiting Scholar with Ryerson University, Toronto, ON, Canada, from February 2006 to February 2007. His research interests include intelligent control and intelligent optimization.

Caractéristiques détaillées - droits

EAN PDF
9789819549979
Prix
147,69 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
7188 Ko
EAN EPUB
9789819549979
Prix
147,69 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
21504 Ko

Suggestions personnalisées