Extended Kalman filter -- Koopman operator for tractable stochastic optimal control

Fuente: arXiv
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Auteurs principaux: Ramadan, Mohammad S., Anitescu, Mihai
Format: Preprint
Publié: 2024
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author Ramadan, Mohammad S.
Anitescu, Mihai
author_facet Ramadan, Mohammad S.
Anitescu, Mihai
contents The theory of dual control was introduced more than seven decades ago. Although it has provided rich insights to the fields of control, estimation, and system identification, dual control is generally computationally prohibitive. In recent years, however, the use of Koopman operator theory for control applications has been emerging. This paper presents a new reformulation of the stochastic optimal control problem that, employing the Koopman operator, yields a standard LQR problem with the dual control as its solution. We provide a numerical example that demonstrates the effectiveness of the proposed approach compared with certainty equivalence control, when applied to systems with varying observability.
format Preprint
id arxiv_https___arxiv_org_abs_2402_18554
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Extended Kalman filter -- Koopman operator for tractable stochastic optimal control
Ramadan, Mohammad S.
Anitescu, Mihai
Systems and Control
Signal Processing
The theory of dual control was introduced more than seven decades ago. Although it has provided rich insights to the fields of control, estimation, and system identification, dual control is generally computationally prohibitive. In recent years, however, the use of Koopman operator theory for control applications has been emerging. This paper presents a new reformulation of the stochastic optimal control problem that, employing the Koopman operator, yields a standard LQR problem with the dual control as its solution. We provide a numerical example that demonstrates the effectiveness of the proposed approach compared with certainty equivalence control, when applied to systems with varying observability.
title Extended Kalman filter -- Koopman operator for tractable stochastic optimal control
topic Systems and Control
Signal Processing
url https://arxiv.org/abs/2402.18554