Learning-Enabled Autonomous Systems: Control, Verification, and Monitoring
暫譯: 學習驅動的自主系統：控制、驗證與監控

本書將控制理論與數據驅動學習結合，旨在設計自適應、安全且可靠的自主系統。內容涵蓋先進的控制策略和運行時監控，並通過案例研究將理論與實踐相連接。非常適合控制系統、機器人技術、人工智慧及工程領域的學生、研究人員和實務工作者。

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.

江林蘭博士是格拉斯哥大學詹姆斯·瓦特工程學院的自主系統講師及Leverhulme早期職業研究員，同時也是倫敦帝國學院的榮譽研究員。他在赫爾大學獲得控制與智能系統工程的博士學位，並在中國頂尖大學獲得控制與自動化的碩士及學士學位。他的研究專注於安全且穩健的自主系統、數據驅動控制及神經網絡驗證。蘭博士曾在卡內基梅隆大學、瓦赫寧根大學及法國LAMIH CNRS擔任訪問職位。他同時擔任《國際自適應控制與信號處理期刊》的編輯。