Record Details
Regions of constrained maximum likelihood parameter identifiability. [of discrete-time nonlinear dynamic systems with white measurement errors] | |||||
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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)
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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 |