Learning-Enabled Autonomous Systems: Control, Verification, and Monitoring - Hardcover
Learning-Enabled Autonomous Systems: Control, Verification, and Monitoring - Hardcover
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by Jianglin Lan (Author)
This book bridges control theory and data-driven learning for designing adaptive, safe, and reliable autonomous systems. It covers advanced control strategies and runtime monitoring with case studies connecting theory to practice. Ideal for students, researchers, and practitioners in control systems, robotics, AI, and engineering.
Author Biography
Dr. Jianglin Lan is a Lecturer in Autonomous Systems and Leverhulme Early Career Fellow at the James Watt School of Engineering, University of Glasgow, and an Honorary Research Fellow at Imperial College London. He received his PhD in Control and Intelligent Systems Engineering from the University of Hull, following master's and bachelor's degrees in control and automation from leading Chinese universities. His research focuses on safe and robust autonomous systems, data-driven control, and neural network verification. Dr. Lan has held visiting positions at Carnegie Mellon University, Wageningen University, and LAMIH CNRS, France, . He also serves as an Editor for the International Journal of Adaptive Control and Signal Processing.
