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Solutions to Differential Algebraic Inequalities with Composite Bernstein Polynomials
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Solutions to Differential Algebraic Inequalities with Composite Bernstein Polynomials

Maxwell Hammond, Gage MacLin, Laurent Jay and Venanzio Cichella
ArXiv.org
Cornell University
09/12/2025
DOI: 10.48550/arxiv.2509.10340
url
https://doi.org/10.48550/arxiv.2509.10340View
Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

The Bernstein polynomial basis sees significant use owing to its unique properties, particularly in the field of optimal control. However, the basis is known to have a slow rate of convergence to the function it approximates. With this in mind, we introduce two collocation methods for solving general ordinary differential equations using composite Bernstein polynomials to preserve the basis properties while improving convergence. Of particular note is the integration based method which uses a minimal number of variables to describe the resulting composite polynomial, reducing computational effort. In addition, we exploit the convex hull property of the Bernstein polynomial basis in order to enforce inequality constraints in differential algebraic inequalities, highlighting the benefits of the basis in function approximation. Solutions to six numerical examples are provided as well as discussion of the advantages and disadvantages of the proposed solution methodologies.
Mathematics - Optimization and Control

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