Learning and Control for Complex Systems

This lecture covers the topic of learning and control for complex and multi-agent systems, focusing on the challenges and opportunities in technology, such as inexpensive hardware and computational power. The instructor discusses the need for novel advanced control methods to address the growing complexity of systems and the requirements for safety and performance. The lecture also delves into interdisciplinary research areas like decentralized energy generation and construction robots, emphasizing the importance of control and learning for complex systems. Various control strategies, including distributed learning control and control of interconnected systems, are explored. The presentation concludes with a discussion on the future of control for complex and multi-agent systems, highlighting the potential impact on solving societal problems.