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Tight Bounds on Polynomials and Its Application to Dynamic Optimization Problems

delete2026-03-30
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PRE
AI
E
Eduardo M. G. Vila
E
Eric C. Kerrigan
P
Paul J. Bruce
DOI:10.1109/tac.2026.3678437delete
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Abstract

Abstract

En 中文
This article presents a pseudospectral method for dynamic optimization problems (DOPs) that allows for tight polynomial bounds to be achieved via flexible subintervals. The proposed method not only rigorously enforces inequality constraints, but also allows for a lower cost in comparison with nonflexible 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.
Keywords:
Constrained control
optimal control
optimal estimation
predictive control

Journal

IEEE Transactions on Automatic Control cover
IEEE Transactions on Automatic Control
IF:
7
Papers:
1.3W
Citations:
6.7W

Organization

I
imperial college london
Scholars:
8.3K
Papers: 3.8K
Citations: 0
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