Identification of mimo non-linear systems using a forward-regression orthogonal estimator

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Abstract

An orthogonal least squares estimator, which was originally derived for single-input single-output systems, is extended to multi-input multi-output non-linear systems. The estimator can provide information about the structure, or which terms to include in the model, and final parameter estimates in a very simple and efficient manner. Multivariable non-linear model validity tests are also discussed and the results of applying the orthogonal estimator to both simulated and real data are included. © 1989 Taylor & Francis Group, LLC.

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Billings, S. A., Chen, S., & Korenbergs, M. J. (1989). Identification of mimo non-linear systems using a forward-regression orthogonal estimator. International Journal of Control, 49(6), 2157–2189. https://doi.org/10.1080/00207178908559767

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