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Nonlinear model predictive control from data: a set membership approach

✍ Scribed by M. Canale; L. Fagiano; M.C. Signorile


Book ID
112186203
Publisher
John Wiley and Sons
Year
2012
Tongue
English
Weight
399 KB
Volume
24
Category
Article
ISSN
1049-8923

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The paper introduces a direct approach to the identi"cation of non-linear di!erential equations from noisy input/output data. Both the parameter estimation and the structure determination problems are addressed. Central to the proposed methodology are two algorithms, a numerical di!erentiation algor