Model-Based and Data-Driven Hierarchical Control and Topology Co-Design for Robust Networked Systems
Researchers have developed two novel hierarchical control strategies for robust networked systems. The first, a model-based approach, uses dissipativity theory and linear matrix inequality problems to design controllers and optimize system topology. The second, a data-driven strategy, handles unknown subsystem dynamics by leveraging input-state-output data and the matrix S-lemma. Both methods were demonstrated on a DC microgrid to ensure stable voltage regulation and current sharing. AI