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A Control-Oriented Framework for Coupling Physics-Based and Data-Driven Models
This paper explores the coupling of dissimilar dynamic models for system-level analysis. Design, control, and estimation for dynamic systems require accurate and analytically tractable representations. However, development of such representations is impeded by the heterogeneous modeling paradigms us
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