Feedback Equilibrium Seeking: Robust Control for Cyber-Physical Systems

This lecture explores the concept of Feedback Equilibrium Seeking, focusing on the robustness and reliability of suboptimal Nonlinear Model Predictive Control (NMPC). The instructor discusses the importance of system theoretic certification and the transition to practice, showcasing a 5-10% reduction in emissions and 50% reduction in smoke. The lecture delves into the challenges of scalability in design and the integration of optimization in intelligent systems. It also covers the application of Feedback Equilibrium Seeking in voltage collapse stabilization and the design of feedback optimization algorithms to minimize curtailment. The presentation emphasizes the essential role of algorithmic control in ensuring the performance and safety of complex intelligent systems.