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  • Encyclopedia of Systems and Control Engineering

    Encyclopedia of Systems and Control Engineering

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 3060.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        1 269 135 Ft (1 208 700 Ft + 5% VAT)
      • Discount 20% (cc. 253 827 Ft off)
      • Discounted price 1 015 308 Ft (966 960 Ft + 5% VAT)

    1 269 135 Ft

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    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    Encyclopedia of Systems and Control Engineering, 4-volume set, offers a comprehensive overview of fundamental and contemporary topics in control systems. Spanning four volumes, it covers linear and nonlinear systems, and integrates experimental and analytical methodologies. This encyclopedia emphasizes cutting-edge developments, such as data-driven control and machine learning methods, which are crucial in modern industry. Control systems play a pivotal role in various engineering sectors, from Boeing aircraft to Boston Dynamics robots, and are essential for their functionality. This work is designed to be accessible to non-experts while providing authoritative, up-to-date information not readily found elsewhere, making it a valuable resource for researchers and practitioners.

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    Table of Contents:

    1. System and Control Theory
    2. Nonlinear and Adaptive Control
    3. Robust Control, Estimation and Filtering
    4. Optimization and Machine Learning in Control and Dynamic Systems
    5. Data-driven (AI) and Network-based Control Systems
    6. Control Applications

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