Decentralized Control and Consensus in Multi-Agent Systems

3 Credits.

This course covers the principles, mathematical foundations, and techniques of decentralized control for multi-agent systems, focusing on consensus algorithms, distributed optimization, and robustness. By the end of the course, participants will be equipped to design scalable and robust control strategies for dynamic, interconnected systems.