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Research Article | Open Access

A new robust control framework for heat transfer equations through L 1 robust stability analysis and the design of a 2-DoF robust LQI controller

Taewan Kim1Jung Hoon Kim1( )Jihyun Park1,2
Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
Smart Mobility R&D Division, Korea Institute of Robotics & Technology Convergence (KIRO), Pohang 37666, Republic of Korea
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Abstract

This paper developed a new robust control framework for uncertain heat transfer systems with a rapid thermal annealing (RTA) processes. We first employed the spatial discretization and Taylor linearization schemes in the nonlinear partial differential equation describing the dynamic behavior of heat transfer systems, by which a linear time-invariant (LTI) system with model uncertainties was derived. More precisely, the model uncertainties were decomposed into feedforward and feedback components, and they were shown to be bounded in terms of the L (-induced) norm. This representation allowed us to establish an L 1 robust stability condition for uncertain heat transfer systems. We next designed a 2-degree-of-freedom (2-DoF) robust linear quadratic integral (LQI) controller to achieve the L 1 robust stability condition and reduce the effects of the model uncertainties on the associated tracking accuracy. Finally, some simulations were given to verify the effectiveness of the developed method.

CLC number: 93D09

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AIMS Mathematics
Pages 19217-19239

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Cite this article:
Kim T, Kim JH, Park J. A new robust control framework for heat transfer equations through L 1 robust stability analysis and the design of a 2-DoF robust LQI controller. AIMS Mathematics, 2025, 10(8): 19217-19239. https://doi.org/10.3934/math.2025859

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Received: 12 June 2025
Revised: 06 August 2025
Accepted: 20 August 2025
Published: 15 August 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)