Neural Approximations for Optimal Control and Decision

Neural Approximations for Optimal Control and Decision

Dettagli Bibliografici
Autori principali: Zoppoli, Riccardo (Autore), Sanguineti, Marcello (Autore), Gnecco, Giorgio (Autore), Parisini, Thomas (Autore)
Ente Autore: SpringerLink (Online service)
Riassunto:XVIII, 517 p. 99 illus., 8 illus. in color.
text
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edizione:1st ed. 2020.
Serie:Communications and Control Engineering,
Soggetti:
Control engineering.
System theory.
Control theory.
Operations research.
Artificial intelligence.
Mathematical optimization.
Control and Systems Theory.
Systems Theory, Control.
Operations Research and Decision Theory.
Artificial Intelligence.
Optimization.
Accesso online:https://doi.org/10.1007/978-3-030-29693-3
Natura: Elettronico Libro

Accesso online

https://doi.org/10.1007/978-3-030-29693-3

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