Electrical Engineering and Systems Science > Systems and Control
[Submitted on 18 Apr 2024]
Title:Mapping back and forth between model predictive control and neural networks
View PDF HTML (experimental)Abstract:Model predictive control (MPC) for linear systems with quadratic costs and linear constraints is shown to admit an exact representation as an implicit neural network. A method to "unravel" the implicit neural network of MPC into an explicit one is also introduced. As well as building links between model-based and data-driven control, these results emphasize the capability of implicit neural networks for representing solutions of optimisation problems, as such problems are themselves implicitly defined functions.
Submission history
From: Pablo Baldivieso Monasterios [view email][v1] Thu, 18 Apr 2024 09:29:08 UTC (1,500 KB)
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