Data-Driven Control of Linear Time-Varying Systems
File(s)
Author(s)
Nortmann, Benita
Mylvaganam, Thulasi
Type
Conference Paper
Abstract
An identification-free control design strategy for
discrete-time linear time-varying systems with unknown dynamics is introduced. The closed-loop system (under state
feedback) is parametrised with data-dependent matrices obtained from an ensemble of input-state trajectories collected
offline. This data-driven system representation is used to classify
control laws yielding trajectories which satisfy a certain bound
and to solve the linear quadratic regulator problem - both using
data-dependent linear matrix inequalities only. The results are
illustrated by means of a numerical example.
discrete-time linear time-varying systems with unknown dynamics is introduced. The closed-loop system (under state
feedback) is parametrised with data-dependent matrices obtained from an ensemble of input-state trajectories collected
offline. This data-driven system representation is used to classify
control laws yielding trajectories which satisfy a certain bound
and to solve the linear quadratic regulator problem - both using
data-dependent linear matrix inequalities only. The results are
illustrated by means of a numerical example.
Date Acceptance
2020-07-16
Copyright Statement
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obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes, creating new
collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted
component of this work in other works.
Source
59th IEEE Conference on Decision and Control
Start Date
2020-12-14
Coverage Spatial
Jeju, Korea