Stabilization of an unstable reaction-diffusion PDE with input delay despite state and input quantization
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 cou...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
27.01.2025
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Subjects | |
Online Access | Get full text |
DOI | 10.48550/arxiv.2501.15924 |
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Summary: | 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. |
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DOI: | 10.48550/arxiv.2501.15924 |