Adaptive Nussbaum Design for Nonlinear Dynamical Systems
暫譯: 非線性動態系統的自適應Nussbaum設計

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.

楊永亮於2011年獲得中國河北大學電氣工程學士學位，並於2018年獲得中國北京科技大學控制理論與控制工程博士學位。2015年至2017年，他曾擔任美國密蘇里科技大學的訪問學者，該計畫由中國國家留學基金委員會資助。他於2018年至2020年擔任北京科技大學的助理教授。自2020年起，他成為澳門大學科技學院智慧城市物聯網國家重點實驗室的UM Macao Fellow。自2023年起，他成為華威大學工程學院的Marie Sklodowska-Curie研究員。目前，他是北京科技大學的副教授。他的研究興趣包括強化學習理論、機器人技術、以及網絡物理系統的分散優化與控制。他曾獲得中國人工智慧學會最佳博士論文獎、北京科技大學最佳博士論文獎、北京科技大學校長獎學金、北京優秀畢業生獎、澳門UM人才計畫及歐洲MSCA獎學金。他目前擔任《IEEE神經網絡與學習系統期刊》的副編輯。

劉貴龍於2022年獲得中國北京科技大學自動化工程學士學位，並於2025年獲得控制科學與技術碩士學位。他目前的研究興趣包括機器人的智能控制。

李青於1993年獲得中國北方科技大學工業電氣自動化學士學位，並於2000年獲得中國北京科技大學控制理論及其應用博士學位。他目前是北京科技大學自動化與電氣工程學院的教授。他曾於2006年2月至2007年2月擔任加拿大多倫多瑞爾森大學的訪問學者。他的研究興趣包括智能控制和智能優化。