Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

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Data-driven approaches offer exceptional computational speed but suffer from limited interpretability and poor generalization outside training data. PINNs improve physical consistency by embedding ...