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Journal of Dynamic Systems, Measurement, and Control | Volume 121 | Issue 2 | Technical Brief
TECHNICAL BRIEFS

State and Information Estimation for Linear and Nonlinear Systems

[+] Author and Article Information
Arthur G. O. Mutambara, M. S. Al-Haik

Mechanical Engineering Department, FAMU-FSU College of Engineering, Tallahasse, FL 32310-6046

J. Dyn. Sys., Meas., Control 121(2), 318-320 (Jun 01, 1999) (3 pages) doi:10.1115/1.2802474 History: Received May 21, 1997; Online December 03, 2007
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Abstract

A new information space based estimation algorithm for nonlinear systems is presented. First, an outline of the algebraic equivalent of the Kalman filter, the Information filter, is discussed. Employing the principles used in the derivation of the extended Kalman filter (EKF), the linear information space is then extended to nonlinear information space. In this way, the extended Information filter (EIF) is derived, which is the key contribution of the paper.
Copyright © 1999 by The American Society of Mechanical Engineers
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