Course Page - IIT Madras Degree Program

Applications Open now for September 2025 Batch | Applications Close: Sep 4, 2025 | Exam: Oct 26, 2025

Diploma Level

Control Engineering

by Prof. Ramkrishna Pasumarthy

Course ID: EE3102

Course Credits: 4

Course Type:

Pre-requisites: EE2101 - Signals and Systems

About the Instructors

Prof. Ramkrishna Pasumarthy

Professor, Department Of Electrical Engineering, IIT Madras

I am currently a Professor at the Control and Optimisation group , 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.

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My current research interests lie in the area of Network Sytems optimization and control, Control of BrainNetworks, Data Driven methods in systems and control, Connected and autonomous vehicles.

I am a associated with the Robert Bosch Center for Data Sciences and Artificial Intelligence at IIT Madras

I am also coordinator for NPTEL

Other courses by the same instructor: MA1101 - Math for Electronics I , - Humanities Elective , - Humanities Elective , - Humanities Elective , - Humanities Elective , - Humanities Elective , - Humanities Elective , - Humanities Elective , - Humanities Elective and - Humanities Elective

WEEK 1	Introduction to control systems: the concept of feedback, feedforward. Classification of systems: Static – Dynamic, Linear – nonlinear, Time varying time - invariant, causal – non causal, examples of systems.
WEEK 2	Concept of Signals in Control: Convolution and system response, Laplace and Inverse Laplace transforms, solutions of Ordinary differential equations.
WEEK 3	System Modeling with Transfer function, properties of transfer function. Stability of dynamical Systems, BIBO stability, concept of poles and zeros.
WEEK 4	Time domain analysis, Response of first order systems, Step response of second order systems, Time response specifications, effect of adding additional zeros and poles, steady state analysis
WEEK 5	Analysis of feedback systems, concept of Proportional, Derivative and Integral control actions.
WEEK 6	The Routh Hurwitz Stability, The root locus plot – variation of system properties as the gain K varies.
WEEK 7	Frequency response, The Nyquist and Polar plots, Bode plots, the concept of gain and phase margins.
WEEK 8	Design using Root Locus plots, Lead, Lag and Lead Lag compensators.
WEEK 9	Design using Bode plots, Lead, Lag and Lead Lag compensators.
WEEK 10	State space methods in control, the concept of Linearisation of a non linear sytem, The concept of Controllablity and observability, control design via pole placement, observer design.
WEEK 11	State space methods in control, the concept of Linearisation of a non linear sytem, The concept of Controllablity and observability, control design via pole placement, observer design.
WEEK 12	Practical aspects of Control Design.