Course Name: Nonlinear System Analysis

Course abstract

All systems are inherently nonlinear in nature. This course deals with the analysis of nonlinear systems. The need for special tools to analyze nonlinear systems arises from the fact that the principle of superposition on which linear analysis is based, fails in the nonlinear case. The course exposes the students to various tools to analyze the behaviour of nonlinear systems, culminating in the stability analysis, which is of paramount importance in control systems.


Course Instructor

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Prof. Ramkrishna Pasumarthy

2. Ramkrishna Pasumarthy is an Associate Professor at the Dept. of Electrical Engineering, IIT Madras. He obtained his PhD in Systems and Control at the University of Twente, The Netherlands and held postdoc positions at the University of Melbourne and UCLA. He held visiting positions at Stanford University. His research interests are in the areas of network science with applications to power, traffic cloud and brain networks. also associated with the Robert Bosch Center for Data Sciences and Artificial Intelligence at IIT Madras. He also has interests in medical wearable devices and is a co funder of a start up iMov Motion Tech pvt. ltd. incubated at IITM Research Park.
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Prof. Arunkumar D Mahindrakar

1. Arun Mahindrakar is an Associate Professor in the Department of Electrical Engineering, IIT Madras. He received his Ph.D. degree in Systems and Control from IIT Bombay, Mumbai, India, in 2004. He was a Postdoctoral Fellow with the Laboratory of Signals and Systems, Supelec, Paris, France, from 2004 to 2005. His research interests include nonlinear stability, geometric control, and formation control of multiagent systems
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Teaching Assistant(s)

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 Course Duration : Jan-Apr 2022

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 Enrollment : 14-Nov-2021 to 31-Jan-2022

 Exam registration : 13-Dec-2021 to 18-Mar-2022

 Exam Date : 24-Apr-2022

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Enrollment Statistics

Total Enrollment: 356

Assignment Statistics




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Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.