A Data-Driven Algorithm for Model-Free Control Synthesis

Fuente: arXiv
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Main Authors: Bowerfind, Sean, Kirchner, Matthew R., Hewer, Gary
Format: Preprint
Published: 2026
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author Bowerfind, Sean
Kirchner, Matthew R.
Hewer, Gary
author_facet Bowerfind, Sean
Kirchner, Matthew R.
Hewer, Gary
contents Presented is an algorithm to synthesize the optimal infinite-horizon LQR feedback controller for continuous-time systems. The algorithm does not require knowledge of the system dynamics but instead uses only a finite-length sampling of arbitrary input-output data. The algorithm is based on a constrained optimization problem that enforces a necessary condition on the dynamics of the optimal value function along any trajectory. In addition to calculating the standard LQR gain matrix, a feedforward gain can be found to implement a reference tracking controller. This paper presents a theoretical justification for the method and shows several examples, including a validation test on a real scale aircraft.
format Preprint
id arxiv_https___arxiv_org_abs_2602_13157
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Data-Driven Algorithm for Model-Free Control Synthesis
Bowerfind, Sean
Kirchner, Matthew R.
Hewer, Gary
Optimization and Control
Robotics
Systems and Control
Presented is an algorithm to synthesize the optimal infinite-horizon LQR feedback controller for continuous-time systems. The algorithm does not require knowledge of the system dynamics but instead uses only a finite-length sampling of arbitrary input-output data. The algorithm is based on a constrained optimization problem that enforces a necessary condition on the dynamics of the optimal value function along any trajectory. In addition to calculating the standard LQR gain matrix, a feedforward gain can be found to implement a reference tracking controller. This paper presents a theoretical justification for the method and shows several examples, including a validation test on a real scale aircraft.
title A Data-Driven Algorithm for Model-Free Control Synthesis
topic Optimization and Control
Robotics
Systems and Control
url https://arxiv.org/abs/2602.13157