On the state estimation for pseudoparabolic systems with stochastic coefficients

The purpose of this note is to derive the least-square state estimator for a class of stochastic pseudoparabolic systems under noisy observations. Within the framework of function spaces, properties of the solution with regard to the state equation are studied. By showing the results of digital simulation experiments, the dynamics of the least-square estimator is given under noisy distributed observations.