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Article . 2025 . Peer-reviewed
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Stabilization of an unstable reaction-diffusion PDE with input delay despite state and input quantization

Authors: Koudohode Florent(http://users.isc.tuc.gr/~fkoudohode); Koudohode Florent(http://users.isc.tuc.gr/~fkoudohode); Μπεκιαρης-Λυμπερης Νικολαος(http://users.isc.tuc.gr/~nlimperis); Bekiaris-Liberis Nikolaos(http://users.isc.tuc.gr/~nlimperis);

Stabilization of an unstable reaction-diffusion PDE with input delay despite state and input quantization

Abstract

We solve the global asymptotic stability problem of an unstable reaction-diffusion Partial Differential Equation (PDE) subject to input delay and state quantization developing a switched predictor-feedback law. To deal with the input delay, we reformulate the problem as an actuated transport PDE coupled with the original reaction-diffusion PDE. Then, we design a quantized predictor-based feedback mechanism that employs a dynamic switching strategy to adjust the quantization range and error over time. The stability of the closed-loop system is proven properly combining backstepping with a small-gain approach and input-to-state stability techniques, for deriving estimates on solutions, despite the quantization effect and the system's instability. We also extend this result to the input quantization case.

Accepted for presentation at 2025 American Control Conference (ACC), DENVER, Colorado, USA

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Keywords

Mathematics - Analysis of PDEs, Backstepping, Quantization, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Reaction-diffusion PDE, Analysis of PDEs (math.AP)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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