Accession Number:

AD0701426

Title:

SENSITIVITY ALGORITHMS FOR DIMENSIONAL STRUCTURE ERRORS IN THE KALMAN ESTIMATOR,

Corporate Author:

TEXAS UNIV AUSTIN ELECTRONICS RESEARCH CENTER

Report Date:

1970-02-01

Abstract:

The performance algorithms of the Kalman estimators are derived when the dimensionality of the estimators differs from that of the actual system model. The estimators considered are the continuous and discrete-time cases of the Kalman filter, predictor and fixed-interval smoother. These performance algorithms represent the structural sensitivity resulting when the system performance is lowered due to errors in the order of the differential difference equation that describes the system. Author

Supplementary Note:

Sponsored in part by Grant NGR-44-012-066.

Pages:

0025

Subject Categories:

Contract Number:

AF-AFOSR-1764-69

Contract Number 2:

AF-AFOSR-766-67

File Size:

0.00MB

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