Thesiss

State-space modelling is a powerful tool to study ecological systems. The direct inclusion of uncertainty, unification of models and data, and ability to model unobserved, hidden states increases our knowledge about the environment and provides new ecological insights. I extend …

Control of the transition of laminar flow to turbulence would result in lower drag and reduced energy consumption in many engineering applications. A spectral state-space model of linearised plane Poiseuille flow with wall transpiration ac¬tuation and wall shear measurements is …

The Kalman filter (KF) gives the optimal estimates of the unknown state vector in time series linear stochastic state space model (SSM). If we have observed data of the state space model, we can identify the unknown parameters using system identification techniques. One way to d…