Multi Rate

Multi-rate control systems address the challenge of coordinating processes operating at different speeds, a common feature in complex systems ranging from robotics to distributed computing. Current research focuses on developing robust and efficient multi-rate architectures, often employing hierarchical structures with high-level planners (e.g., using Model Predictive Control) coordinating lower-level feedback controllers. Key areas of investigation include guaranteeing safety and stability in nonlinear systems, analyzing the convergence properties of distributed algorithms through a feedback control lens, and designing controllers that account for communication constraints and uncertainties in model parameters. These advancements have significant implications for improving the performance and reliability of diverse applications, from autonomous vehicles and surgical robots to large-scale distributed optimization problems.