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Hauptverfasser: Vila, Eduardo M. G., Kerrigan, Eric C., Bruce, Paul
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2403.07707
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author Vila, Eduardo M. G.
Kerrigan, Eric C.
Bruce, Paul
author_facet Vila, Eduardo M. G.
Kerrigan, Eric C.
Bruce, Paul
contents This paper presents a pseudo-spectral method for Dynamic Optimization Problems (DOPs) that allows for tight polynomial bounds to be achieved via flexible sub-intervals. The proposed method not only rigorously enforces inequality constraints, but also allows for a lower cost in comparison with non-flexible discretizations. Two examples are provided to demonstrate the feasibility of the proposed method to solve optimal control problems. Solutions to the example problems exhibited up to a tenfold reduction in relative cost.
format Preprint
id arxiv_https___arxiv_org_abs_2403_07707
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Tight Bounds on Polynomials and Its Application to Dynamic Optimization Problems
Vila, Eduardo M. G.
Kerrigan, Eric C.
Bruce, Paul
Optimization and Control
Systems and Control
This paper presents a pseudo-spectral method for Dynamic Optimization Problems (DOPs) that allows for tight polynomial bounds to be achieved via flexible sub-intervals. The proposed method not only rigorously enforces inequality constraints, but also allows for a lower cost in comparison with non-flexible discretizations. Two examples are provided to demonstrate the feasibility of the proposed method to solve optimal control problems. Solutions to the example problems exhibited up to a tenfold reduction in relative cost.
title Tight Bounds on Polynomials and Its Application to Dynamic Optimization Problems
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2403.07707