Course Details

Subject {L-T-P / C} : EE6349 : Network Control System {3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Bidyadhar Subudhi


Overview of networked systems, Features of control networks, Stability analysis of networked control systems in presence of communication delays and packet loss Graph Theory Fundamentals, Graph-based Network Models, Network Optimization, Consensus Problem: cooperative control, leader-follower architecture. Control under Communication Constraints, Formation Control, Swarming and Flocking Collision Avoidance, Game Theoretic Control of Multi-Agent Systems, Applications: Multi-robot/vehicle coordination, Sensor Networks, Social Networks, Smart Grids, Biological Networks.

Course Objectives

  1. To understand the effects of communication in control loop
  2. To learn the different time delays owing to insertion of networks in feedback control loop
  3. To learn design of networked control systems

Course Outcomes

CO1: To learn overview of the current technologies used in networked control systems, configure, program and use them in practice.
CO2: To study the effects of different time delays on the performance of the control system
CO3: To design control system with communication constraints

Essential Reading

  1. C. Godsil and G. Royle, Algebraic Graph Theory, , Springer, 2001
  2. M. Mesbahi and M. Egerstedt, Graph Theoretic Methods in Multi-Agent Networks, , Princeton University Press, 2010.

Supplementary Reading

  1. Wei Ren, Randal W. Beard, Distributed Consensus in Multi-vehicle Cooperative Control, Springer-Verlag, London, 2008
  2. F. Bullo, J. Cortes, and S. Martinez, Distributed Control of Robotic Networks, Princeton, 2009.