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20242026
most citedMesh Refinement with Early Termination for Dynamic Feasibility Problems

1 citations · 2 across the 15 of their papers we have counts for

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eess.SY2024

Accurate Solutions to Optimal Control Problems via a Flexible Mesh and Integrated Residual Transcription

Lucian Nita, Eric C. Kerrigan

We propose joining a flexible mesh design with an integrated residual transcription in order to improve the accuracy of numerical solutions to optimal control problems. This approa…

eess.SY2024

Robust Output Feedback of Nonlinear Systems through the Efficient Solution of Min-Max Optimization Problems

Jad Wehbeh, Eric C. Kerrigan

We examine robust output feedback control of discrete-time nonlinear systems with bounded uncertainties affecting the dynamics and measurements. Specifically, we demonstrate how to…

math.OC2024

Semi-Infinite Programs for Robust Control and Optimization: Efficient Solutions and Extensions to Existence Constraints

Jad Wehbeh, Eric C. Kerrigan

Discrete-time robust optimal control problems generally take a min-max structure over continuous variable spaces, which can be difficult to solve in practice. In this paper, we ext…

math.OC2024★ 1 cited

Mesh Refinement with Early Termination for Dynamic Feasibility Problems

Eduardo M. G. Vila, Eric C. Kerrigan, Paul Bruce

We propose a novel early-terminating mesh refinement strategy using an integrated residual method to solve dynamic feasibility problems. As a generalization of direct collocation,…

math.OC2024

Tight Bounds on Polynomials and Its Application to Dynamic Optimization Problems

Eduardo M. G. Vila, Eric C. Kerrigan, Paul Bruce

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 propose…