Direct data-driven control of LTV systems

Abstract

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 optimisation 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.

References in corpus (5)

• Data-Driven Model Predictive Control with Stability and Robustness Guarantees
• Robust data-driven state-feedback design
• Trade-offs in learning controllers from noisy data
• Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems
• Data-driven stabilization of nonlinear polynomial systems with noisy data