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  • Learning Dynamic Models from Data
    Gianluigi Pillonetto; Tianshi Chen; Alessandro Chiuso; Giuseppe De Nicolao; Lennart Ljung
    978-3-030-95860-2
    2022
    Edition 1
    • Powerful tools lead to new principles and algorithms for various linear and nonlinear system identification techniques
    • Careful mathematics provide a rigorous basis for cross-fertilization between system identification and machine learning
    • Develops system identification principles in both deterministic and stochastic (Bayesian) settings
    • This book is open access, which means that you have free and unlimited access

    Open Access

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