A new Bayesian estimation approach for continuous-time systems

In this paper, a new Bayesian estimation method is introduced. This new method provides estimation for the state variable through a locally correlated process. It utilizes both range and smoothing parameters. Therefore, it has the flexibility of the nonparametric approach as well as the adaptability of the Bayesian estimation. In addition, its convergence and some of its properties are discussed.