Shubo Wang, Jing Na (Faculty of Mechanical Professor and Electrical Engineerin, Xuemei Ren (Professor, School of Automation, Beijing Institute of T

Broschiertes Buch

Parameter Estimation and Adaptive Control for Nonlinear Servo Systems

Beschreibung

Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification. This book offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory, this book covers the latest advances in observer-based control design and provides fundamentals, algorithms, and key applications in the fields of power systems, robotics and mechatronics, flight, and automotive systems.

Autor

Shubo Wang received his M.S. degree in control science and engineering from the School of Information Science and Engineering, Central South University, Hunan, China, 2011; and Ph.D. degree in control science and engineering from the Beijing Institute of Technology, Beijing, China, in 2017. Since 2017, He has been with the School of Automation, Qingdao University, where he became an associate professor in 2019. He has co-authored one monograph and more than 40 international journal and conference papers. His current research interests include adaptive control, parameter estimation, neural network, servo system, robotic, nonlinear control and applications for robotics and motor driving systems.

Produktdetails

• Emerging Methodologies and Applications in Modelling, Identification and Control
• Verlag: Elsevier Science Publishing Co Inc
• Seitenzahl: 302
• Erscheinungstermin: 19. Januar 2024
• Englisch
• Abmessung: 229mm x 152mm
• Gewicht: 492g
• ISBN-13: 9780443155741
• ISBN-10: 0443155747
• Artikelnr.: 68543959