Direct Data-Driven Control of Linear Time-Varying Systems

Considering discrete-time linear time-varying systems with unknown dynamics, controllers guaranteeing bounded closed-loop trajectories, optimal performance, and robustness to process and measurement noise are designed via convex feasibility and optimization problems involving purely data-dependent linear matrix inequalities. For the special case of periodically time-varying systems, infinite-horizon guarantees are achieved based on finite-length data sequences.