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Record 2 of 4994
Regions of constrained maximum likelihood parameter identifiability. [of discrete-time nonlinear dynamic systems with white measurement errors]
Author and Affiliation:
Lee, C.-H.(Iowa State Univ. of Science and Technology, Ames, IA, United States)
Herget, C. J.(Iowa State University, of Science and Technology, Ames, Iowa, United States)
Abstract: This short paper considers the parameter-identification problem of general discrete-time, nonlinear, multiple input-multiple output dynamic systems with Gaussian white distributed measurement errors. Knowledge of the system parameterization is assumed to be available. Regions of constrained maximum likelihood (CML) parameter identifiability are established. A computation procedure employing interval arithmetic is proposed for finding explicit regions of parameter identifiability for the case of linear systems.
Publication Date: Aug 01, 1976
Document ID:
19760057242
(Acquired Dec 01, 1995)
Accession Number: 76A40208
Subject Category: CYBERNETICS
Document Type: Journal Article
Publication Information: IEEE Transactions on Automatic Control; p. Aug. 197; AC-21
Publisher Information: United States
Financial Sponsor: NASA; United States
Organization Source: Iowa State Univ. of Science and Technology; Ames, IA, United States
Description: 5p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: CONTROL THEORY; DYNAMIC MODELS; MAXIMUM LIKELIHOOD ESTIMATES; NONLINEAR SYSTEMS; WHITE NOISE; COMPLEX SYSTEMS; DISTRIBUTED PARAMETER SYSTEMS; IDENTIFYING; PARAMETERIZATION; STATE VECTORS; STOCHASTIC PROCESSES
Imprint And Other Notes: IEEE Transactions on Automatic Control, vol. AC-21, Aug. 1976, p. 556-560. NASA-supported research.
Miscellaneous Notes: p. 556-560. NASA-supported research
Availability Source: Other Sources
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