Nonlinear Predictive Control Using Wiener Models: Computationally Efficient Approaches for Polynomial and Neural Structures
1st ed. 2022. - Cham: Springer International Publishing, Imprint: Springer, 2022
Online
Monographie, Elektronische Ressource
- 1 Online-Ressource (XXIII, 343 p. 167 illus., 121 illus. in color)
Ermittle Ausleihstatus...
Titel: |
Nonlinear Predictive Control Using Wiener Models: Computationally Efficient Approaches for Polynomial and Neural Structures
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Verantwortlichkeitsangabe: | by Maciej Ławryńczuk |
Autor/in / Beteiligte Person: | Ławryńczuk, Maciej |
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Ausgabe: | 1st ed. 2022 |
Veröffentlichung: | Cham: Springer International Publishing, Imprint: Springer, 2022 |
Medientyp: | Monographie |
Datenträgertyp: | Elektronische Ressource |
Umfang: | 1 Online-Ressource (XXIII, 343 p. 167 illus., 121 illus. in color) |
ISBN: | 9783030838157 |
DOI: | 10.1007/978-3-030-83815-7 |
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