Pillonetto, G., Chen, T., Chiuso, A., De Nicolao, G., & Ljung, L. [ca. 2022]. Regularized System Identification : Learning Dynamic Models from Data. In Communications and Control Engineering (1 st ed. 2022) [Cd]. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-95860-2
ISO-690 (author-date, English)PILLONETTO, Gianluigi, CHEN, Tianshi, CHIUSO, Alessandro, DE NICOLAO, Giuseppe und LJUNG, Lennart, 2022. Regularized System Identification : Learning Dynamic Models from Data. 1 st ed. 2022. Cham: Springer International Publishing. ISBN 9783030958602.
Modern Language Association 9th editionPillonetto, G., T. Chen, A. Chiuso, G. De Nicolao, und L. Ljung. „Regularized System Identification : Learning Dynamic Models from Data“. Communications and Control Engineering, 1 st ed. 2022, cd, Springer International Publishing, 2022, https://doi.org/10.1007/978-3-030-95860-2.
Mohr Siebeck - Recht (Deutsch - Österreich)Pillonetto, Gianluigi/Chen, Tianshi/Chiuso, Alessandro/De Nicolao, Giuseppe/Ljung, Lennart: Regularized System Identification : Learning Dynamic Models from Data, 1 st ed. 2022. Aufl. Cham 2022.
Emerald - HarvardPillonetto, G., Chen, T., Chiuso, A., De Nicolao, G. und Ljung, L. (2022), Regularized System Identification : Learning Dynamic Models from Data, Communications and Control Engineering, 1 st ed. 2022., Bd. , Springer International Publishing, Cham, verfügbar unter:https://doi.org/10.1007/978-3-030-95860-2.