Abstract: This paper deals with the problem of a practical filter for discrete-time, dynamic systems with unknown parameters whose variation cannot be estimated in advance. The modeling errors caused by ...

Abstract: This paper is concerned with an approach for identifying the input and observation noise covariances in continuous linear systems. The estimates of noise covariances are evaluated as the mean ...

Abstract: A discrete-time adaptive filter is derived for a distributed system described by a linear partial differential equation with some unknown random constants whose a priori probabilities are known. ...

Abstract: A method of failure diagnosis for discrete-time stochastic systems with some parametric failures is proposed. It is assumed that the time instances of failure occurrence and the dynamic behaviors ...

Abstract: We describe the applications of multiple linear regression model and auto-regressive model which may be of use for the on-line prediction and control of concentration levels of pollutants of ...