Current Output Filter for State Estimation of Scalar Nonlinear Systems with Application to Chaotic Communication

Authors

Huawei Ruan, Marquette University
Edwin E. Yaz, Marquette UniversityFollow
Tongyan Zhai, Marquette University

Document Type

Article

Publication Date

2005

Publisher

Elsevier

Source Publication

IFAC Proceedings Volumes

Source ISSN

1474-6670

Original Item ID

DOI: 10.3182/20050703-6-CZ-1902.00365

Abstract

A novel nonlinear state estimation technique called Current Output Filter is proposed in this paper. By taking two successive measurements into account and optimizing the coefficients of the proposed filter structure, an unbiased minimum variance state estimation algorithm with guaranteed estimation error performance is derived for scalar nonlinear systems. The performance of this filter is shown to be superior to the Extended Kalman Filter (EKF) in simulations. An application to a chaotic communication scheme is also presented in this work.

Comments

IFAC Proceedings Volumes, Vol. 38, No. 1 (2005): 77-81. DOI.

Recommended Citation

Ruan, Huawei; Yaz, Edwin E.; and Zhai, Tongyan, "Current Output Filter for State Estimation of Scalar Nonlinear Systems with Application to Chaotic Communication" (2005). Electrical and Computer Engineering Faculty Research and Publications. 764.
https://epublications.marquette.edu/electric_fac/764