Neural network-based sliding mode controllers applied to robot manipulators: A review

TN Truong, AT Vo, HJ Kang - Neurocomputing, 2023 - Elsevier
In recent years, numerous attempts have been made to integrate sliding mode control (SMC)
and neural networks (NN) in order to leverage the advantages of both methods while …

Design and optimization of a control framework for robot assisted additive manufacturing based on the Stewart platform

TS Tamir, G Xiong, X Dong, Q Fang, S Liu… - International Journal of …, 2022 - Springer
Additive manufacturing, also known as 3D printing, is an emerging technology. The existing
additive manufacturing technologies deploy a 3-axis printing mechanism where the material …

A neural flexible PID controller for task-space control of robotic manipulators

NT Minh Nguyet, DX Ba - Frontiers in Robotics and AI, 2023 - frontiersin.org
This paper proposes an adaptive robust Jacobian-based controller for task-space position-
tracking control of robotic manipulators. Structure of the controller is built up on a traditional …

Intelligent switching gain based sliding mode control for optimization of power consumption in cooperative manipulators

AP Kia, MH Korayem… - … Control Applications and …, 2024 - Wiley Online Library
Cooperative manipulators, vital for intricate tasks, are gaining widespread attention across
industries. Recognizing their impact on power consumption, costs, and task outcomes, this …

A new neural iterative learning control approach for position tracking control of robotic manipulators: Theory, simulation, and experiment

XB Dang, TT Nguyen - Measurement, Control, and Automation, 2022 - mca-journal.org
This paper presents a new effective iterative learning control method for repetitive motion-
tracking control problems of robotic manipulators. The controller is comprised of two control …

Development and study of the operation of the module for determining the orientation of the manipulator joint

I Nevlyudov, S Novoselov… - … ТА ТЕХНОЛОГІЙ В …, 2022 - itssi-journal.com
In the field of mechatronic systems, manipulators are often used for automated assembly of
products, welding, painting parts and more. An important task is to optimize the travel time …

A Neural PID End-effector Controller for Robotic Manipulator with Joint Position Constraints

NTM Nguyet, DX Ba - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
We present a novel efficient method to control the end-effector of robotic manipulators
without solving the inverse kinematics problem in the presence of the hard bound on the …

A Smart Direct Controller for a 3-DOF Robot

PT Phat, BM Huy, DX Ba - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In this paper, we present an intelligent controller for position control of a 3DOF robot using a
Jacobian-based approach. The core baseline of the controller is established from a …

Xây Dựng Bộ Điều Khiển PID Thích Nghi Trực Tiếp Cho Robot Động Vật Bốn Chân

MH Bui, TP Pham, TMN Nguyen, XB Dang - Journal of Technical …, 2022 - jte.edu.vn
Recently, research on quadruped robots has not gotten much attention in Vietnam due to
complicated mechanical structures of the robots as well as unstructural working …

[PDF][PDF] Development of a Direct Adaptive PID Controller for a Quadruped Robot

BM Huy, PT Phat, NTM Nguyet, DX Ba - academia.edu
Recently, research on quadruped robots has not gotten much attention in Vietnam due to
complicated mechanical structures of the robots as well as unstructural working …