Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks

Fuente: arXiv
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Autores principales: Klädtke, Manuel, Darup, Moritz Schulze
Formato: Preprint
Publicado: 2023
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author Klädtke, Manuel
Darup, Moritz Schulze
author_facet Klädtke, Manuel
Darup, Moritz Schulze
contents We show that a special class of (nonconvex) NMPC problems admits an exact solution by reformulating them as a finite number of convex subproblems, extending previous results to the multi-input case. Our approach is applicable to a special class of input-affine discrete-time systems, which includes a class of bilinear rank-one systems that is considered useful in modeling certain controlled networks. We illustrate our results with two numerical examples, including the aforementioned rank-one bilinear network.
format Preprint
id arxiv_https___arxiv_org_abs_2304_08147
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks
Klädtke, Manuel
Darup, Moritz Schulze
Systems and Control
Optimization and Control
We show that a special class of (nonconvex) NMPC problems admits an exact solution by reformulating them as a finite number of convex subproblems, extending previous results to the multi-input case. Our approach is applicable to a special class of input-affine discrete-time systems, which includes a class of bilinear rank-one systems that is considered useful in modeling certain controlled networks. We illustrate our results with two numerical examples, including the aforementioned rank-one bilinear network.
title Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2304.08147