Data assimilation approach to analysing systems of ordinary differential equations

Data assimilation approach to analysing systems of ordinary differential equations

Data assimilation approach to analysing systems of ordinary differential equations 150 150 UKAEA Opendata
UKAEA-CCFE-CP(19)09

Data assimilation approach to analysing systems of ordinary differential equations

Wayne Arter Ana Osojnik Coralia Cartis Godwin Madho Steven Tobias

Preprint Published

The problem of parameter fitting nonlinear oscillator models to noisy time series is addressed using a combination of Ensemble Kalman Filter and Optimisation techniques. Preliminary results for acceptable sampling rates and noise levels are presented. Application to the understanding and control of tokamak nuclear reactor operation is discussed.

Collection:
Conference
Journal:
Publisher:
Conference:
IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 27-30 May 2018
Published date:
05/04/2018