Approximate Nonlinear Filters and Deterministic Filter Gains

[+] Author and Article Information
A. K. Bejczy

Guidance and Control Division, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, Calif.

R. Sridhar

Department of System Science, University of California, Los Angeles, Calif.

J. Dyn. Sys., Meas., Control 94(1), 57-63 (Mar 01, 1972) (7 pages) doi:10.1115/1.3426543 History: Received August 25, 1971; Online July 13, 2010


A simple nonlinear filter construction and performance evaluation method is described and illustrated on several examples by comparing it to more complex nonlinear filter schemes. In the new method, the filter gain is a precomputed, deterministic quantity (possibly a constant) and, the filter’s performance is (approximately) described by deterministic differential equations which can be solved off-line.

Copyright © 1972 by ASME
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