A decision-directed rapid estimation of states for systems subject to unknown input sequences
Authors
Sonalkar, Ranjan V.
ORCID
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Other Contributors
Shen, C. N., 1917-
Modestino, James W.
DeRusso, Paul M. (Paul Madden)
Amazigo, John C.
Modestino, James W.
DeRusso, Paul M. (Paul Madden)
Amazigo, John C.
Issue Date
1975-12
Keywords
Electrical Systems engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Sufficient conditions for convergence of standard Kalman filter estimating the states of a system subject to unknown inputs have been postulated and proved; and the limit of signal to noise ratio under which the proposed scheme will not be advantageous, have been derived. The scheme has been applied to the development of an obstacle detection algorithm for the proposed Mars rover, and a simultaneous Bayesian estimate of states and inputs is derived to point direction for future improvement of the presently suboptimal input estimation.
Description
December 1975
School of Engineering
School of Engineering
Department
Dept. of Electrical and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
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