Nonlinear stochastic control and filtering systems constitute a branch of control theory and signal processing concerned with the behaviour, regulation and estimation of systems whose dynamics combine ...
Bayesian filtering provides a principled framework for estimating the hidden dynamics of a system from noisy or incomplete observations. At its core lies the recursive computation of a posterior ...
A spacecraft attitude kinematics model, attitude measurement model, and filter algorithm are three important parts in spacecraft attitude determination, and a high-precision filtering algorithm is the ...