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control-oriented design 1data-driven methods 1machine learning 1physics-informed modeling 1system identification 1

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eess.SY2026

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches

S. Sivaranjani, Yuanyuan Shi, Nikolay Atanasov +6

The paper surveys classical, machine‑learning, and physics‑informed system identification methods that incorporate control‑relevant properties such as dissipativity and symmetry, d…