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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
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    Decentralized Neural Control: Application to Robotics (Studies in Systems, Decision and Control)

    Posted By: hill0
    Decentralized Neural Control: Application to Robotics (Studies in Systems, Decision and Control)

    Decentralized Neural Control: Application to Robotics (Studies in Systems, Decision and Control) by Ramon Garcia-Hernandez
    English | 7 Mar. 2017 | ISBN: 3319533118 | 111 Pages | PDF | 4.3 MB

    This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural control and includes applications to robotics. Decentralized control is free from difficulties due to complexity in design, debugging, data gathering and storage requirements, making it preferable for interconnected systems. Furthermore, as opposed to the centralized approach, it can be implemented with parallel processors.
    This approach deals with four decentralized control schemes, which are able to identify the robot dynamics. The training of each neural network is performed on-line using an extended Kalman filter (EKF).
    The first indirect decentralized control scheme applies the discrete-time block control approach, to formulate a nonlinear sliding manifold.
    The second direct decentralized neural control scheme is based on the backstepping technique, approximated by a high order neural network.
    The third control scheme applies a decentralized neural inverse optimal control for stabilization.
    The fourth decentralized neural inverse optimal control is designed for trajectory tracking.
    This comprehensive work on decentralized control of robot manipulators and mobile robots is intended for professors, students and professionals wanting to understand and apply advanced knowledge in their field of work.