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Course Name: Control engineering

Course abstract

This course shall introduce the fundamentals of modeling and control of linear time invariant systems; primarily from the classical viewpoint of Laplace transforms and a brief emphasis on the state space formulation as well. The course will be useful for students from major streams of engineering to build foundations of time/frequency analysis of systems as well as the feedback control of such systems.

Course Instructor

Media Object

Prof.Ramkrishna Pasumarthy

Ramkrishna Pasumarthy is currently an Assistant Professor at Department of Electrical Engineering, IIT Madras. I obtained my PhD in systems and control from University of Twente, The Netherlands and held post doc positions at University of Melbourne and UCLA.My interests lie in the area of modeling and control of complex physical systems. I also have interests in the area of identification and control of (cloud) computing systems and data analytics for power, traffic and cloud networks. I am also a member of the Interdisciplinary Laboratory for Data Sciences at IIT Madras.

Prof. Viswanath Talasila

Viswanath Talasila currently an Associate Professor at the Telecommunication Engineering Department at Ramaiah Institute of Technology (Bengaluru). He has an engineering degree from Bangalore University in 1997. He worked at the Institute of Robotics and Intelligent Systems (DRDO lab, CAIR) from 1997 u2013 2000 in flight control. He completed his Ph.D. at the University of Twente (Netherlands) in the area of mathematical modeling in 2004. He completed his PostDoctoral research from Imperial College (London) in 2007 in the area of controlled invariant manifolds. From 2007 to 2012 he worked as a Principal Research Scientist at the Advanced Technology Labs of Honeywell (Bengaluru). He is currently the Principal Investigator in the following projects: DST funded Modeling and Analysis of movement disorders, Brain Controllability studies (jointly with Stanford University). His current interests are in the area of Human Movement, an he is developing advanced products to measure, analyse and control human movement - with applications in medicine and sports.

Teaching Assistant(s)


M.S., Electrical Engineering

Kiran Rokade

MS, Electrical Engineering

 Course Duration : Jan-Apr 2019

  View Course


 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 19-Apr-2019