Abstract:
Global parameter identifiability of time-invariant linear systems for continuous and sampled output measurements is characterized. New necessary and sufficient conditions...Show MoreMetadata
Abstract:
Global parameter identifiability of time-invariant linear systems for continuous and sampled output measurements is characterized. New necessary and sufficient conditions for parameter identifiability for linear systems with constant inputs are derived. An application to global identifiability of low dimensional models for gene expression analysis is given.
Published in: 52nd IEEE Conference on Decision and Control
Date of Conference: 10-13 December 2013
Date Added to IEEE Xplore: 10 March 2014
ISBN Information:
Print ISSN: 0191-2216
Contents 