A Combined Correlation Function - Linear Regression Approach to System Identification.
LOUISIANA STATE UNIV BATON ROUGE DEPT OF ELECTRICAL ENGINEERING
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The work presented in this dissertation is concerned with the problem of identifying the parameters describing a dynamic process based on an imput-output record of the process. The identification technique is used to approximate the parameters of a pulse transfer function and is structured for use in a sampled-data environment. System identification is not ordinarily an end in itself, but is rather a means of approaching an overall problem. The identification approach subsequently described is designed for use in an adaptive control configuration. Author
- Industrial Chemistry and Chemical Processing
- Statistics and Probability