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