Linear Systems: Theory and Applications
暫譯: 線性系統：理論與應用

Dr. SooJean Han is an Assistant Professor of Electrical Engineering at KAIST and the Director of the Autonomous Control for Stochastic Systems (ACSS) lab. Her interests lie broadly in the realm of combining model-based tools and data-driven AI for robust and adaptive control of stochastic systems. Her research spans a wide range of applications including motion-planning, distributed sensing and control, reinforcement learning, resource-allocation and scheduling, and decision-making for networks and multiagent systems. ACSS also maintains active collaborations with the AFOSR AOARD, the Agency for Defense Development (ADD) in Korea, as well as with faculty at KAIST, Seoul National University, and Kyung Hee University. As of 2025, Dr. Han and her team have published dozens of manuscripts in top-tier conferences (e.g., IEEE CDC, L4DC) and top-tier journals (Automatica, IJRNC, IEEE TAC). She has also developed and taught courses for a wide variety of subjects, including linear systems (for which this book is being written), probability and stochastic processes, optimal control, and stochastic control. She is currently serving as an Associate Editor in the IEEE RA-L journal, and has served in the past as an Associate Editor for IROS2025 and a Chair for CDC2024. Prior to KAIST, Dr. Han completed her Ph.D. in Control and Dynamical Systems at Caltech in Jan 2023, and was supported by the Caltech Special EAS Fellowship and the NSF GRFP. She received her B.S. in Electrical Engineering and Computer Science, and Applied Mathematics at UC Berkeley in 2016. She was also a research assistant in the Hybrid Systems Lab at UC Berkeley, and a research affiliate of Team CoSTAR for the DARPA subT Challenge at NASA JPL.

韓秀娟博士是韓國科學技術院（KAIST）電機工程系的助理教授，也是隨機系統自主控制實驗室（ACSS）的主任。她的研究興趣廣泛，主要集中在結合基於模型的工具和數據驅動的人工智慧，以實現隨機系統的穩健和自適應控制。她的研究涵蓋了多種應用，包括運動規劃、分散式感測與控制、強化學習、資源分配與排程，以及網絡和多智能體系統的決策制定。ACSS還與美國空軍作戰研究所（AFOSR AOARD）、韓國國防科學研究所（ADD）以及KAIST、首爾國立大學和慶熙大學的教職員保持積極的合作。截至2025年，韓博士及其團隊已在頂尖會議（如IEEE CDC、L4DC）和頂尖期刊（Automatica、IJRNC、IEEE TAC）上發表了數十篇手稿。她還開發並教授了多種主題的課程，包括線性系統（本書即為此而寫）、概率與隨機過程、最優控制和隨機控制。她目前擔任IEEE RA-L期刊的副編輯，並曾擔任IROS2025的副編輯和CDC2024的主席。在加入KAIST之前，韓博士於2023年1月在加州理工學院（Caltech）完成了控制與動力系統的博士學位，並獲得了Caltech特別EAS獎學金和NSF GRFP的支持。她於2016年在加州大學伯克利分校（UC Berkeley）獲得電機工程與計算機科學及應用數學的學士學位。她還曾在UC Berkeley的混合系統實驗室擔任研究助理，並是NASA JPL DARPA subT挑戰賽的Team CoSTAR的研究成員。