✦ LIBER ✦

Bilinear system identification by estimated volterra kernels

✍ Scribed by Makoto Inagaki; Ryo Kamiya

Book ID: 112081051
Publisher: John Wiley and Sons
Year: 1981
Tongue: English
Weight: 357 KB
Volume: 101
Category: Article
ISSN: 0424-7760
DOI: 10.1002/eej.4391010316

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Identification of MGB cells by Volterra

Identification of MGB cells by Volterra kernels

✍ Y. Yeshurun; Z. Wollberg; N. Dyn; N. Allon 📂 Article 📅 1985 🏛 Springer-Verlag 🌐 English ⚖ 755 KB

Identification of MGB cells by Volterra

Identification of MGB cells by Volterra kernels

✍ Y. Yeshurun; N. Dyn; Z. Wollberg 📂 Article 📅 1987 🏛 Springer-Verlag 🌐 English ⚖ 607 KB

Structural identification of quadratic b

Structural identification of quadratic block-oriented models based on estimated Volterra kernels

✍ HABER, R. 📂 Article 📅 1989 🏛 Taylor and Francis Group 🌐 English ⚖ 324 KB

Identification of the Volterra kernels o

Identification of the Volterra kernels of nonlinear systems

✍ Fakhouri, S.Y. 📂 Article 📅 1980 🏛 The Institution of Electrical Engineers ⚖ 701 KB

Bilinear system identification by Walsh

Bilinear system identification by Walsh functions

✍ Karanam, V.; Frick, P.; Mohler, R. 📂 Article 📅 1978 🏛 IEEE 🌐 English ⚖ 432 KB

Bilinear system identification by block

Bilinear system identification by block pulse functions

✍ Y.G. Jan; K.M. Wong 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 554 KB

A new method is employed to identify the unknown parameters of a bilinear system. This method expands the system input and output by block pulse functions and reduces the original identification problem to an algebraic form. Furthermore, the dyad formed by block pulse functions and its integral are