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Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0


pubblicato da Elsevier Science

Prezzo online:
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Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 studies and analyzes the role of algorithms in identifying and controlling such a system towards Industry 4.0, which is the digital transformation of manufacturing and related industries and value creation processes. This book focuses on the conception and implementation of intelligent algorithms. It will help readers who work on sensors, virtual sensors, actuators and virtual actuators embedded systems, network infrastructures, servers with computing and storage capacity, autonomous computing software, real-time data processing, and database graphical user interfaces wireless networking technologies.

Cyber-Physical Systems are network components that coordinate physical actions with each other. These autonomous systems perceive their surroundings using virtual sensors and actively influence them via virtual actuators. Adaptable and continuously evolving, these systems free up skilled workers to perform complex tasks, avoiding productivity loss and re-work.

  • Provides the new and cutting-edge research and development and a series of guidance procedures for potential applications from academic research to industrial R&D
  • Focuses on the conception and implementation of intelligent algorithms
  • Covers a wide spectrum of topics, including sensors, virtual sensors, actuators and virtual actuators embedded systems, network infrastructures, servers with computing and storage capacity, autonomous computing software, real-time data processing, and database graphical user interfaces wireless networking technologies

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Generi Scienza e Tecnica » Ingegneria e Tecnologia » Ingegneria elettronica e delle comunicazioni » Ingegneria meccanica e dei materiali , Informatica e Web » Linguaggi e Applicazioni » Scienza dei calcolatori

Editore Elsevier Science

Formato Ebook con Adobe DRM

Pubblicato 09/01/2024

Lingua Inglese

EAN-13 9780323952088

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