Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Linear Systems: Theory and Applications

by Soojean Han
Save 35% Save 35%
Current price ₹6,742.00
Original price ₹10,372.00
Original price ₹10,372.00
Original price ₹10,372.00
(-35%)
₹6,742.00
Current price ₹6,742.00

Imported Edition - Ships in 12-14 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Hardcover
  • ISBN13: 9789819697731
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 278
  • Original Price: EUR 92.64
  • Language: English
  • Edition: N/A
  • Item Weight: 590 grams
  • BISAC Subject(s): Electrical

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.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us