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Graph-regularized data-driven control: Simultaneous optimization across multiple operating conditions

delete2025-06-21
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PRE
AI
S
Sanga Takagi
O
Osamu Kaneko
DOI：10.1016/j.jprocont.2025.103486delete
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Abstract

Abstract

En 中文
• Proposes graph-regularized data-driven control for multiple conditions. • Automatically extracts dataset similarities via controller evaluations. • Integrates graph structure as regularization for flexible controller design. • Validates method through hot rolling mill simulations, improving robustness.

Journal

Journal of Process Control cover
Journal of Process Control
IF:
3.9
Papers:
3.5K
Citations:
7.3K

Organization

No organization information available
Cited Papers

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