Constrained Control and Machine Learning: Emerging Methodologies and Applications - Couverture rigide

9783032027085: Constrained Control and Machine Learning: Emerging Methodologies and Applications

Couverture rigide

ISBN 10 : 303202708X ISBN 13 : 9783032027085

Editeur : Springer Nature Switzerland AG, 2026

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�diteur: Springer Nature Switzerland AG
Date d'�dition: 2026
Langue: anglais
ISBN 10: 303202708X
ISBN 13: 9783032027085
Reliure: Reli�
Nombre de pages: 320
�diteur: Franz� Giuseppe, Fortino Giancarlo, Lucia Walter, Zhou MengChu
Coordonn�es du fabricant: ProductSafety@springernature.com
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Constrained Control and Machine Learning

Giancarlo Fortino

Edit� par Springer Nature Switzerland AG Apr 2026, 2026

ISBN 10 : 303202708X ISBN 13 : 9783032027085

Neuf Couverture rigide

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Addresses use of constrained control and machine learning within data-driven settings;Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems;Shows how combined constrained control and ML techniques can create efficient hybrid control architectures. 312 pp. Englisch. N� de r�f. du vendeur 9783032027085

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Constrained Control and Machine Learning

Edit� par Springer Verlag GmbH, 2026

ISBN 10 : 303202708X ISBN 13 : 9783032027085

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Constrained Control and Machine Learning | Emerging Methodologies and Applications

Giuseppe Franz� (u. a.)

Edit� par Springer, 2026

ISBN 10 : 303202708X ISBN 13 : 9783032027085

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Constrained Control and Machine Learning

Giancarlo Fortino

Edit� par Springer Nature Switzerland AG Apr 2026, 2026

ISBN 10 : 303202708X ISBN 13 : 9783032027085

Neuf Couverture rigide

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 312 pp. Englisch. N� de r�f. du vendeur 9783032027085

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Constrained Control and Machine Learning : Emerging Methodologies and Applications

Giancarlo Fortino

Edit� par Springer Nature Switzerland AG, 2026

ISBN 10 : 303202708X ISBN 13 : 9783032027085

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Addresses use of constrained control and machine learning within data-driven settings;Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems;Shows how combined constrained control and ML techniques can create efficient hybrid control architectures. N� de r�f. du vendeur 9783032027085

Contacter le vendeur