Transfer learning of Gaussian processes to capture unmodeled physics: application to control of nonlinear dynamical systems.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories,, Livermore, CA
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2005304
- Report Number(s):
- SAND2022-13456C; 710425
- Country of Publication:
- United States
- Language:
- English
Similar Records
Transfer Learning of Gaussian Processes to Capture Unmodeled Physics.
The Multiple Instance Learning Gaussian Process Probit Model.
Exploring Optimization and Robust Control Techniques for use in Control Design of Nonlinear Dynamic Systems.
Conference
·
Thu Sep 01 00:00:00 EDT 2022
·
OSTI ID:2004711
The Multiple Instance Learning Gaussian Process Probit Model.
Conference
·
Sun Jan 31 23:00:00 EST 2021
·
OSTI ID:1847472
Exploring Optimization and Robust Control Techniques for use in Control Design of Nonlinear Dynamic Systems.
Conference
·
Thu Jul 01 00:00:00 EDT 2021
·
OSTI ID:1883501