Parameter identification of distributed parameter systems using spline functions

DOI10.1080/00207728808967587zbMath0645.93064OpenAlexW2007781706MaRDI QIDQ3789465

Kei Hara, Kazuyuki Ougita, Tetsuhiko Yamamoto

Publication date: 1988

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207728808967587

zbMATH Keywords

smoothingspline approximationrecursive least squares algorithm

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Control/observation systems governed by partial differential equations (93C20) Data smoothing in stochastic control theory (93E14) Identification in stochastic control theory (93E12)

Related Items (1)

Parameter identification of distributed parameter systems in the presence of measurement noise

Cites Work

• A generalized cubic spline technique for identification of multivariable systems
• The use of splines with unknown end points in the identification of systems

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