Shortest-path recovery from signature with an optimal control approach
Abstract In this paper, we consider the signature-to-path reconstruction problem from the control-theoretic perspective. Namely, we design an optimal control problem whose solution leads to the minimal-length path that generates a given signature. In order to do that, we minimize a cost functional consisting of two competing terms, i.e., a weighted final-time cost combined with the $$L^2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:math> -norm squared of the controls. Moreover, we can show that, by taking the limit to infinity of the parameter that tunes the final-time cost, the problem $$\Gamma $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>Γ</mml:mi> </mml:math> -converges to the problem of finding a sub-Riemannian geodesic connecting two signatures. Finally, we provide an alternative reformulation of the latter problem, which is particularly suitable for the numerical implementation.
Authors
- Alessandro Scagliotti (ORCID: https://orcid.org/0000-0002-8615-4689)
- F. Patrı́cio (ORCID: https://orcid.org/0000-0003-0010-1410)
- Marco Rauscher
Institutions
- Data:Lab Munich (Germany) (DE)
- Munich Center for Machine Learning
- Technical University of Munich (DE)
Publication Details
- Journal
- Mathematics of Control Signals and Systems
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1007/s00498-024-00402-8
- Citations
- 1
- Primary Topic
- Markov Chains and Monte Carlo Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- Istituto Nazionale di Alta Matematica "Francesco Severi"
- Technische Universität München