Data-Driven Controller Design via Finite-Horizon Dissipativity

TL;DR

This paper introduces a data-driven method for designing controllers for discrete-time linear systems that ensures finite-horizon dissipativity by parametrizing trajectories and verifying dissipativity conditions through quadratic matrix inequalities.

Contribution

It develops a novel framework for controller design using only open-loop data and a model, enabling validation and synthesis of controllers for finite-horizon dissipativity.

Findings

Framework successfully designs controllers ensuring dissipativity.

Validation of controllers via quadratic matrix inequality feasibility.

Illustrative simulation demonstrates practical applicability.

Abstract

Given one open-loop measured trajectory of a single-input single-output discrete-time linear time-invariant system, we present a framework for data-driven controller design for closed-loop finite-horizon dissipativity. First, we parametrize all closed-loop trajectories using the given data of the plant and a model of the controller. We then provide an approach to validate the controller by verifying closed-loop dissipativity in the standard feedback loop based on this parametrization. We use these conditions to design controllers leading to closed-loop dissipativity based on a quadratic matrix inequality feasibility problem. Finally, the results are illustrated with a simulation example.