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Proceedings Paper

Statistical emulator construction for nonlinear smart systems
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Paper Abstract

Comprehensive physical models can accurately quantify the dynamics of nonlinear and hysteretic systems but often require significant computational cost. This can reduce their effectiveness when performing sensitivity analysis, uncertainty analysis, parameter calibration or system design which typically requires multiple iterations of computationally expensive routines. This can also preclude the use of these models for real-time model-based control design. Emulators provide statistical approximations to comprehensive physical models which provide two advantages: high efficiency and statistical characterization of missing model components. We discuss the construction of statistical emulators to provide efficient surrogates for nonlinear smart material models. We will primarily focus on emulators for the homogenized energy model for ferroic compounds.

Paper Details

Date Published: 3 April 2009
PDF: 12 pages
Proc. SPIE 7286, Modeling, Signal Processing, and Control for Smart Structures 2009, 72860C (3 April 2009); doi: 10.1117/12.815673
Show Author Affiliations
Francesca D. Reale, North Carolina State Univ. (United States)
Ralph C. Smith, North Carolina State Univ. (United States)


Published in SPIE Proceedings Vol. 7286:
Modeling, Signal Processing, and Control for Smart Structures 2009
Douglas K. Lindner, Editor(s)

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