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Modeling and control of robotic manipulators based on artificial neural networks: a review
Z Liu, K Peng, L Han, S Guan - Iranian Journal of Science and Technology …, 2023 - Springer
Recently, robotic manipulators have been playing an increasingly critical part in scientific
research and industrial applications. However, modeling of robotic manipulators is …
research and industrial applications. However, modeling of robotic manipulators is …
Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems
GQ Zeng, XQ ** sliding mode control for a 3-DOF hydraulic manipulator with nonlinear disturbance observer for large payload variation
Featured Application This article belongs to the Section Mechanical Engineering. Abstract
The paper proposes an adaptive fuzzy position control for a 3-DOF hydraulic manipulator …
The paper proposes an adaptive fuzzy position control for a 3-DOF hydraulic manipulator …
Design of an intelligent robotic precise assembly system for rapid teaching and admittance control
HI Lin - Robotics and Computer-Integrated Manufacturing, 2020 - Elsevier
In this study, an intelligent robotic precise assembly system for rapid teaching and
admittance control was developed. The system comprised three parts, namely the teaching …
admittance control was developed. The system comprised three parts, namely the teaching …
Simplified and intelligent controllers for multi-input multi-output processes
Designing a controller to serve a process like a multi-input multi-output (MIMO) system is
complicated due to unknown parameters, unmodeled nonlinearities, and unknown multiple …
complicated due to unknown parameters, unmodeled nonlinearities, and unknown multiple …