Course Details
Subject {L-T-P / C} : EE6349 : Network Control System { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Bidyadhar Subudhi
Syllabus
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
- To understand the effects of communication in control loop
- To learn the different time delays owing to insertion of networks in feedback control loop
- 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. <br />CO2: To study the effects of different time delays on the performance of the control system <br />CO3: To design control system with communication constraints
Essential Reading
- C. Godsil and G. Royle, Algebraic Graph Theory, , Springer, 2001
- M. Mesbahi and M. Egerstedt, Graph Theoretic Methods in Multi-Agent Networks, , Princeton University Press, 2010.
Supplementary Reading
- Wei Ren, Randal W. Beard, Distributed Consensus in Multi-vehicle Cooperative Control, Springer-Verlag, London, 2008
- F. Bullo, J. Cortes, and S. Martinez, Distributed Control of Robotic Networks, Princeton, 2009.