Data Driven Robust Superstable Control of Switched Systems ?

摘要

This paper considers the problem of data driven control of switched linear MIMO systems. Our goal is, given experimental data collected at different operating points and a-priori model structure, to directly design a controller that super-stabilizes all plants in the consistency set, for any arbitrary switching sequence, without explicitly identifying the plant. Our main result shows that this problem can be recast into a convex optimization problem and efficiently solved, leading to a robust controller with guaranteed?∞worse-case performance for any switching amongst all plants that could have generated the observed experimental data.