On the Stability of Receding Horizon Control for Continuous-Time Stochastic Systems
Fajin Wei, Andrea Lecchini-Visintini

TL;DR
This paper investigates the stability of receding horizon control applied to continuous-time nonlinear stochastic systems, demonstrating its effectiveness through a simulation example involving investment and debt repayment.
Contribution
It provides new stability analysis results for receding horizon control in continuous-time stochastic systems, supported by a practical simulation example.
Findings
Receding horizon control can stabilize nonlinear stochastic systems.
Simulation confirms the effectiveness of the control strategy.
The approach applies to financial investment scenarios.
Abstract
We study the stability of receding horizon control for continuous-time non-linear stochastic differential equations. We illustrate the results with a simulation example in which we employ receding horizon control to design an investment strategy to repay a debt.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Control Systems Optimization · Stochastic processes and financial applications · Risk and Portfolio Optimization
