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Titlebook: Adaptive Robust Control for Planar Snake Robots; Joyjit Mukherjee,Indra Narayan Kar,Sudipto Mukherj Book 2021 The Editor(s) (if applicable

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发表于 2025-3-21 17:44:22 | 显示全部楼层 |阅读模式
期刊全称Adaptive Robust Control for Planar Snake Robots
影响因子2023Joyjit Mukherjee,Indra Narayan Kar,Sudipto Mukherj
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发行地址Details the mechanics of a robotic snake with uncertain ground conditions.Explores adaptive sliding mode-based and time-delayed control for planar snake robots.Proposes a differential flatness-based a
学科分类Studies in Systems, Decision and Control
图书封面Titlebook: Adaptive Robust Control for Planar Snake Robots;  Joyjit Mukherjee,Indra Narayan Kar,Sudipto Mukherj Book 2021 The Editor(s) (if applicable
影响因子.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 demonstrateshow 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-
Pindex Book 2021
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https://doi.org/10.1007/978-1-4899-6146-4ode Control (SMC), Adaptive SMC (ASMC), Time-Delayed Control (TDC) and Adaptive Robust TDC (ARTDC) have been employed to achieve robustness in tracking the performance of planar snake robot while trading off between performance, input effort and limits or determinism of parameters.
发表于 2025-3-22 08:56:31 | 显示全部楼层
Bargeldlose Lohn- und Gehaltszahlung robot model. These uncertainties have been assumed to be bounded with a known upper bound to implement a . (SMC) law with the aim of achieving efficient head-angle and velocity tracking. Furthermore, to relax the constraint on the uncertainty bound and also to solve the overestimation of switching
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Bargeldlose Lohn- und Gehaltszahlungransforming a nonlinear system into a ., i.e. a corresponding system of flat outputs by establishing a diffeomorphic relation between the states and the outputs [.,.,.]. The flat outputs chosen should be either measurable or be computed from the measured variables. Therefore, trajectories designed a
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