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Adaptive Robust Control for Planar Snake Robots / by Joyjit Mukherjee, Indra Narayan Kar, Sudipto Mukherjee.

By: Mukherjee, Joyjit, autor
Contributor(s): Kar, Indra Narayan, autor | Mukherjee, Sudipto, autor
Series: (Studies in Systems, Decision and Control, 2198-4190; 363); (Intelligent Technologies and Robotics (SpringerNature-42732)); (Intelligent Technologies and Robotics (R0) (SpringerNature-43728)).Publisher: Cham : Springer International Pulishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XVI, 168 páginas) : 101 ilustraciones, 98 ilustraciones a color.ISBN: 9783030714604.Subject: MecatrónicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Adaptive Sliding-Mode Control for Velocity and Head-Angle Tracking -- Time Delayed Control for Planar Snake Robots -- Adaptive Robust Time Delayed Control for Planar Snake Robots -- Differential Flatness and its Application to Snake Robots -- Modeling of in-Pipe Snake Robot Motion -- Conclusions.
Abstract: This book shows how a conventional multi-layered approach can be used to control a snake robot on a desired path while moving on a flat surface. To achieve robustness to unknown variations in surface conditions, it explores various adaptive robust control methods. The authors propose a sliding-mode control approach designed to achieve robust maneuvering for bounded uncertainty with a known upper bound. The control is modified by addition of an adaptation law to alleviate the overestimation problem of the switching gain as well as to circumvent the requirement for knowledge regarding the bounds of uncertainty. The book works toward non-conservativeness, achieving efficient tracking in the presence of slowly varying uncertainties with a specially designed framework for time-delayed control. It shows readers how to extract superior performance from their snake robots with an approach that allows robustness toward bounded time-delayed estimation errors. The book also demonstrates how the multi-layered control framework can be simplified by employing differential flatness for such a system. Finally, the mathematical model of a snake robot moving inside a uniform channel using only side-wall contact is discussed. The model has further been employed to demonstrate adaptive robust control design for such a motion. Using numerous illustrations and tables, Adaptive Robust Control for Planar Snake Robots will interest researchers, practicing engineers and postgraduate students working in the field of robotics and control systems.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TJ217.2 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.23122189
Total holds: 0

Introduction -- Adaptive Sliding-Mode Control for Velocity and Head-Angle Tracking -- Time Delayed Control for Planar Snake Robots -- Adaptive Robust Time Delayed Control for Planar Snake Robots -- Differential Flatness and its Application to Snake Robots -- Modeling of in-Pipe Snake Robot Motion -- Conclusions.

This book shows how a conventional multi-layered approach can be used to control a snake robot on a desired path while moving on a flat surface. To achieve robustness to unknown variations in surface conditions, it explores various adaptive robust control methods. The authors propose a sliding-mode control approach designed to achieve robust maneuvering for bounded uncertainty with a known upper bound. The control is modified by addition of an adaptation law to alleviate the overestimation problem of the switching gain as well as to circumvent the requirement for knowledge regarding the bounds of uncertainty. The book works toward non-conservativeness, achieving efficient tracking in the presence of slowly varying uncertainties with a specially designed framework for time-delayed control. It shows readers how to extract superior performance from their snake robots with an approach that allows robustness toward bounded time-delayed estimation errors. The book also demonstrates how the multi-layered control framework can be simplified by employing differential flatness for such a system. Finally, the mathematical model of a snake robot moving inside a uniform channel using only side-wall contact is discussed. The model has further been employed to demonstrate adaptive robust control design for such a motion. Using numerous illustrations and tables, Adaptive Robust Control for Planar Snake Robots will interest researchers, practicing engineers and postgraduate students working in the field of robotics and control systems.

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