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March 29, 20260 citations

Stabilization of parabolic time-varying PDEs using certified reduced-order receding horizon control

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BABehzad AzmiMKMichael KartmannSVStefan Volkwein

Key Points

  • The research aims to stabilize linear, time-varying parabolic partial differential equations (PDEs) using reduced-order models.
  • Proved exponential stability of the full-order model receding horizon control scheme.
  • Introduced a Galerkin model reduction for effective control management.
  • Performed a rigorous a posteriori error analysis for finite-horizon optimal control.
  • Developed a ROM-based RHC algorithm for adaptive control strategies.
  • Confirmed exponential stability of the closed-loop state from the reduced-order model.
  • Provided computable performance bounds for the infinite-horizon control problem.
  • Numerical experiments demonstrated effectiveness even for challenging exponentially unstable systems.

Abstract

We address the stabilization of linear, time-varying parabolic PDEs using finite-dimen\-sional receding horizon controls (RHCs) derived from reduced-order models (ROMs). We first prove exponential stability and suboptimality of the continuous-time full-order model (FOM) RHC scheme in Hilbert spaces. A Galerkin model reduction is then introduced, along with a rigorous a posteriori error analysis for the associated finite-horizon optimal control problems. This results in a ROM-based RHC algorithm that adaptively constructs reduced-order controls, ensuring exponential stability of the FOM closed-loop state and providing computable performance bounds with respect to the infinite-horizon FOM control problem. Numerical experiments with a non-smooth cost functional involving the squared ¹-norm confirm the method’s effectiveness, even for exponentially unstable systems.

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Cite This Study

Azmi et al. (2026) studied this question.

synapsesocial.com/papers/69c8c384de0f0f753b39e601https://doi.org/10.1051/m2an/2026029/pdf
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