Course Page - IIT Madras Degree Program

Applications Open now for May 2025 Batch | Applications Close: May 20, 2025 | Exam: July 13, 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

Module 1	Mathematical modeling and simulations of physical systems: Deriving a mathematical model of a physical system from its component descriptions. State space and transfer function models of systems. Examples from Electrical, Mechanical, Electromechanical, biological and computing systems.
Module 2	Control System components: Hydraulic Systems, Pneumatic Systems, Stepper motors. Introduction to feedback: Open and closed loop systems. Introduction to basic control problems. Advantages and disadvantages of feedback. Stability of systems
Module 3	Time response: Transient and steady state response of first and second order systems. Disturbance rejection and steady state errors.
Module 4	PID control: Proportional, derivative and integral actions, choosing the structure and tuning parameters, limitations of PID.
Module 5	Control design via graphical methods: Root locus and Bode plots, introducing the concepts of relative stability, gain and phase margins. Design using root locus and bode plots.
Module 6	State space methods: Controllability & observability, pole placement, state estimation, Kalman filter, basics of optimal control.
Module 7	Note: Each of these topics will be supplemented by Matlab, Simspace based exercises and several industrial control examples.