Guaranteed state estimation accuracies with roundoff error Conference Paper

abstract

• Kalman filter theory is modified to accommodate roundoff errors in state computation. Two problems are solved: (i) choosing the wordlength required for each state computation to guarantee specified estimation accuracies of multiple output variables of interest; and (ii) finding the minimal variance estimator subject to inequality constraints on wordlength for state computation.

authors

• Skelton, Robert

published proceedings

• Proceedings of the IEEE Conference on Decision and Control

author list (cited authors)

• Skelton, R. E., & Williamson, D.

complete list of authors

• Skelton, RE||Williamson, D

publication date

• December 1990

published in

• IEEE Conference on Decision and Control  Journal

start page

• 297

end page

• 298

volume

• 1