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 …
FWNNet: Presentation of a New Classifier of Brain Tumor Diagnosis Based on Fuzzy Logic and the Wavelet‐Based Neural Network Using Machine‐Learning Methods
M Ahmadi, F Dashti Ahangar, N Astaraki… - Computational …, 2021 - Wiley Online Library
In this paper, we present a novel classifier based on fuzzy logic and wavelet transformation
in the form of a neural network. This classifier includes a layer to predict the numerical …
in the form of a neural network. This classifier includes a layer to predict the numerical …
[HTML][HTML] Q-Learning-based model predictive variable impedance control for physical human-robot collaboration
Physical human-robot collaboration is increasingly required in many contexts (such as
industrial and rehabilitation applications). The robot needs to interact with the human to …
industrial and rehabilitation applications). The robot needs to interact with the human to …
Coordinated control system modeling of ultra-supercritical unit based on a new fuzzy neural network
G Hou, J ** force of variable impedance controller for robotic polishing
H Wahballa, J Duan, Z Dai - The International Journal of Advanced …, 2022 - Springer
This paper proposes a novel constant force tracking control scheme based on an
impedance controller with online stiffness and reverse dam** force (OSRDF) to track …
impedance controller with online stiffness and reverse dam** force (OSRDF) to track …
Passivity of fractional-order coupled neural networks with interval uncertainties
This paper is mainly devoted to analyzing the passivity of two classes of uncertain fractional-
order coupled neural networks (FCNNs) with different coupling dynamics. Compared with …
order coupled neural networks (FCNNs) with different coupling dynamics. Compared with …
Wavelet neural network sliding mode control of two rigid joint robot manipulator
H Tlijani, A Jouila, K Nouri - Advances in Mechanical …, 2022 - journals.sagepub.com
To solve the problems of low accuracy and poor stability due to uncertainties, external
disturbances and unknown load, which exist in the position control of rigid joint robot …
disturbances and unknown load, which exist in the position control of rigid joint robot …
Anti-deadzone adaptive fuzzy dynamic surface control for planar space robot with elastic base and flexible links
X Huang, D Huang - Scientific Reports, 2023 - nature.com
In order to combat the impact of the dead zone and reduce vibration of the space robot's
elastic base and flexible links, the trajectory tracking and vibration suppression of a multi …
elastic base and flexible links, the trajectory tracking and vibration suppression of a multi …
Adaptive finite-time optimised impedance control for robotic manipulators with state constraints
C Li, Q Ren, Z Xu, J Zhao, C Song - International Journal of …, 2023 - Taylor & Francis
In this paper, an adaptive finite-time impedance control strategy based on optimised
backstep** (OB) technique is proposed for robotic manipulators subject to state …
backstep** (OB) technique is proposed for robotic manipulators subject to state …