E1 246: Topics in Networked and Distributed Control 3:0


Schedule and venue - Tuesdays, Thursdays 15:30-17:00, Venue: EE B-304

First class: Thursday, 3 August 2023

Time and venue

Class timings: Tuesdays, Thursdays 15:30-17:00
Venue: EE B-304


Pavan Tallapragada
Office: EE C-323

email: pavant@iisc.ac.in (prefix “NDC”, without quotes, in email subject)

Course overview

This course is aimed at students who are interested in the topics of control over networks, distributed control and decision making, and multi-agent systems.

Course objectives/expected outcomes:

  • Cover some fundamental ideas in networked and distributed control, multi-agent systems

  • To provide an exposure to the breadth of topics in the area

  • Also go into depth on selected topics through course projects and discussions

  • Reading scientific literature and technical presentation skills

Course outline

One third to half the course would focus on the core topics. The remaining course would focus on selected topics and discussions/paper readings on current literature.

Core topics: Estimation and control under communication constraints such as sampling, quantization, packet losses, time delays; data rate limited control; Consensus, synchronization, coverage control, systems with multiple coordinating or non-cooperating agents

Selected topics from: Event-triggered control, connectivity maintenance, distributed optimization, privacy and security in networked and distributed control systems, social networks, opinion dynamics, epidemic spread, applications in robotics, cyber physical systems and transportation


Some background in graduate level control and/or related areas such as linear systems theory, nonlinear systems, random processes. Permission of the instructor. Familiarity with some simulation software such as MATLAB/Octave/Python is useful.



  1. Bemporad, Alberto, Maurice Heemels, and Mikael Johansson. Networked control systems. Vol. 406. London: Springer, 2010.

  2. Yüksel, Serdar, and Tamer Başar. Stochastic networked control systems: Stabilization and optimization under information constraints. Springer Science & Business Media, 2013.

  3. Mesbahi, Mehran, and Magnus Egerstedt. Graph theoretic methods in multiagent networks. Princeton University Press, 2010.

  4. Bullo, Francesco. Lectures on Network Systems (link to free ecopy)

  5. Bullo, Francesco, Jorge Cortes, and Sonia Martinez. Distributed control of robotic networks: a mathematical approach to motion coordination algorithms. Princeton University Press, 2009.

  6. Current literature

Academic integrity

Please be aware of the IISc academic integrity policy. Any violation of it will be dealt with strictly.