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Advances in Discrete-Time Sliding Mode Control (Theory and Applications)

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SKU:
9780367571412
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  • Product Details

    Author:
    Ahmadreza Argha, Steven Su, Li Li, Hung Tan Nguyen, Branko George Celler
    Format:
    Paperback
    Pages:
    254
    Publisher:
    CRC Press (June 30, 2020)
    Language:
    English
    ISBN-13:
    9780367571412
    Weight:
    14.5oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260403050835162-20260403.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $68.99
    Case Pack:
    20
    As low as:
    $65.54
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Audience:
    College/higher education
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    CRC Press
  • Overview

    The focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots in (continuous-time) relay control. This book aims to explain recent investigations' output in the field of discrete-time sliding mode control (DSMC).



    The book starts by explaining a new robust LMI-based (state-feedback and observer-based output-feedback) DSMC including a new scheme for sparsely distributed control. It includes a novel event-driven control mechanism, called actuator-based event-driven scheme, using a synchronized-rate biofeedback system for heart rate regulation during cycle-ergometer.





    Key Features:







    • Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law






    • Makes reader understand the techniques of designing a discrete controller based on the flexible sliding functions






    • Proposes new algorithms for sparsifying control and observer network through multi-objective optimization frameworks






    • Discusses a framework for the design of SMC for two-dimensional systems along with analyzing the controllability of two-dimensional systems






    • Discusses novel schemes for sparsifying the control network