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TECHNICAL PAPERS

An Adaptive State Filtering Algorithm for Systems With Partially Known Dynamics

[+] Author and Article Information
Alexander G. Parlos

Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843e-mail: a-parlos@tamu.edu

Sunil K. Menon

Honeywell Technology Center, 3660 Technology Drive, MN65-2500, Minneapolis, MN 55418e-mail: sunil@htc.honeywell.com

Amir F. Atiya

Department of Electrical Engineering, California Institute of Technology, MS 136-93, Pasadena, CA 91125e-mail: amir@work.caltech.edu

J. Dyn. Sys., Meas., Control 124(3), 364-374 (Jul 23, 2002) (11 pages) doi:10.1115/1.1485747 History: Received December 01, 2000; Online July 23, 2002
Copyright © 2002 by ASME
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References

Figures

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Block diagram of the neural network state filter
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Motor-pump system armature resistance and flux linkage filter block diagram
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Motor-pump system armature resistance and flux linkage filter response using the test data set as inputs (high noise environment)
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Motor-pump system armature resistance and flux linkage filter response using the test data set as inputs (high noise environment)
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Block diagram of the UTSG riser void fraction filter
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UTSG process riser void fraction filter response using the ramp input of the test data set (high noise environment)
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UTSG process riser void fraction filter response using the step input of the test data set (high noise environment)

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