In search of the optimal model for a process with multiple inputs

The problem of discrete-time modelling of processes with input and output data is addressed. The objective is to produce the most representative model with adequate numbers of parameters. Conventional methods involve a computationally inefficient method of selection through exhaustive trials of all...

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Bibliographic Details
Published inProceedings of the First Regional Conference, IEEE Engineering in Medicine and Biology Society and 14th Conference of the Biomedical Engineering Society of India. An International Meet pp. 2/82 - 2/83
Main Authors Kanjilal, P.P., Saha, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1995
Subjects
Computational modeling
Estimation error
Heart
Input variables
Joining processes
Linear regression
Matrix decomposition
Parameter estimation
Robustness
Singular value decomposition
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Summary:The problem of discrete-time modelling of processes with input and output data is addressed. The objective is to produce the most representative model with adequate numbers of parameters. Conventional methods involve a computationally inefficient method of selection through exhaustive trials of all candidate models. Proposed is a new approach based on singular value decomposition (SVD), where the representative model is determined through rank-loss assessment of appropriately configured data matrix.
ISBN:9780780327115
078032711X
DOI:10.1109/RCEMBS.1995.532168