Neural operator for observer gains and output-feedback control of coupled PDE–ODE systems

Neural operator for observer gains and output-feedback control of coupled PDE–ODE systems

Abstract This paper presents a novel data-driven framework for designing observers and controllers in coupled ODE-PDE systems of reaction-diffusion type. Leveraging the DeepONet architecture as a neural operator, the method directly approximates nonlinear mappings between function spaces, eliminatin...

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Bibliographic Details
Main Authors: Malihe Abdolbaghi, Seyed Amir Hossein Tabatabaei, Mohammad Keyanpour
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Coupled PDE–ODE systems
DeepONet
Observer
PDE Backstepping
Stabilizing.
Online Access:https://doi.org/10.1038/s41598-025-14090-0
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https://doi.org/10.1038/s41598-025-14090-0

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