State Estimation for Linear Discrete-Time Systems with Unknown Input Using Nonparametric Technique

摘要

The paper addressed the filtering problems with using nonparametric algorithms for discrete linear systems with the known control input, unknown input and parameters. The designed algorithms are based on combining the Kalman filter and nonparametric estimator. Examples are given to illustrate the usefulness of the proposed approach.