A Model-Free Data-Driven Algorithm for Continuous-Time Control
Optimization and Control
2025-01-30 v1 Systems and Control
Systems and Control
Abstract
Presented is an algorithm to synthesize an infinite-horizon LQR optimal 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 (possibly suboptimal) 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 an arbitrary trajectory. This paper presents the derivation as well as shows examples applied to both linear and nonlinear systems inspired by air vehicles.
Cite
@article{arxiv.2501.17400,
title = {A Model-Free Data-Driven Algorithm for Continuous-Time Control},
author = {Sean R. Bowerfind and Matthew R. Kirchner and Gary A. Hewer and D. Reed Robinson and Paula Chen and Alireza Farahmandi and Katia Estabridis},
journal= {arXiv preprint arXiv:2501.17400},
year = {2025}
}
Comments
To appear in the proceedings of the 2025 IEEE Aerospace Conference