A New Task-Space Neural Nonlinear Control Approach for Robotic Manipulators Under Joint Constraints

A New Task-Space Neural Nonlinear Control Approach for Robotic Manipulators Under Joint Constraints

Robotic manipulators are nonlinear systems with multi-input multi-output (MIMO) structures, uncertainties, and time-varying dynamical prospects. Unexpected influences of internal and external disturbances along with physical constraints in complicated kinematic configurations are large barriers for...

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Bibliographic Details
Main Authors: Nguyen Tran Minh Nguyet, Dang Xuan Ba
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
End-effector controller
joint constraints
manipulators
neural network
sliding mode control
robotics
Online Access:https://ieeexplore.ieee.org/document/11007530/
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https://ieeexplore.ieee.org/document/11007530/

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