A decision-directed rapid estimation of states for systems subject to unknown input sequences
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Authors
Sonalkar, Ranjan V.
Issue Date
1975-12
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Electrical Systems engineering
Alternative Title
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
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY