Week 1: State-space fundamentals, matrix exponentials, solutions of linear systems. Week 2: Controllability/observability, canonical forms, minimal realizations. Week 3: State feedback, observers, LQR and Riccati equations. Week 4: Kalman filtering, stochastic estimation, numerical issues and case studies. (Work through proofs and 1–2 example problems per topic.)
Thomas Kailath is a renowned electrical engineer and researcher who has made significant contributions to the field of linear systems, control theory, and signal processing. Born in 1932 in Poona, India, Kailath received his B.Sc. degree from the University of Poona and his M.Sc. degree from the University of Bombay. He earned his Ph.D. in electrical engineering from the University of California, Berkeley, in 1959. Kailath has held various academic and industrial positions, including professorships at Stanford University and the University of California, San Diego. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and has received numerous awards for his contributions to engineering and research. thomas kailath linear systems pdf
Designing systems that estimate unknown states and improve overall performance. Multivariable Systems: degree from the University of Poona and his M
The book "Linear Systems" by Thomas Kailath covers a wide range of topics, and some of the key concepts and takeaways include: Week 4: Kalman filtering