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

DOI

10.2991/cisia-15.2015.184How to use a DOI?

Keywords

kalman filter; discrete linear systems; unknown input; unknown parameters; filtering algorithm; nonparametric estimators

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - V. Smagin
AU  - G. Koshkin
AU  - V. Udod
PY  - 2015/06
DA  - 2015/06
TI  - State Estimation for Linear Discrete-Time Systems with Unknown Input Using Nonparametric Technique
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 675
EP  - 677
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.184
DO  - 10.2991/cisia-15.2015.184
ID  - Smagin2015/06
ER  -