Recurrent fuzzy wavelet neural networks based on robust adaptive sliding mode control for industrial robot manipulators
VT Yen, WY Nan, P Van Cuong - Neural Computing and Applications, 2019 - Springer
A robust adaptive control method is proposed in this paper based on recurrent fuzzy wavelet
neural networks (RFWNNs) system for industrial robot manipulators (IRMs) to improve high …
neural networks (RFWNNs) system for industrial robot manipulators (IRMs) to improve high …
Intelligent impedance control using wavelet neural network for dynamic contact force tracking in unknown varying environments
In this paper, the Intelligent Impedance Control based Wavelet Neural Network (IIC-WNN) is
introduced as a noble adaptive variable impedance approach to enhance the efficiency of …
introduced as a noble adaptive variable impedance approach to enhance the efficiency of …
Fault diagnosis of hydraulic seal wear and internal leakage using wavelets and wavelet neural network
Y Jin, C Shan, Y Wu, Y Xia, Y Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The piston seal wear in hydraulic cylinder is one of the main factors that give rise to an
internal leakage. This paper focuses on diagnosing piston seal wear and subsequent …
internal leakage. This paper focuses on diagnosing piston seal wear and subsequent …
Recurrent fuzzy wavelet neural network variable impedance control of robotic manipulators with fuzzy gain dynamic surface in an unknown varied environment
In this paper, an intelligent variable impedance control combined with a fuzzy gain dynamic
surface is proposed to improve the interaction of the robot manipulator with an unknown …
surface is proposed to improve the interaction of the robot manipulator with an unknown …
Observer-based adaptive force–position control for nonlinear bilateral teleoperation with time delay
In this paper, a novel observer-based force control scheme is proposed to guarantee the
position and force tracking in nonlinear teleoperation systems, subject to constant …
position and force tracking in nonlinear teleoperation systems, subject to constant …
Object transportation with force-sensorless control and event-triggered synchronization for networked uncertain manipulators
This article proposes a distributed control method for networked manipulators to
cooperatively transport an unmodeled object without force measurement. First, we design an …
cooperatively transport an unmodeled object without force measurement. First, we design an …
A Hybrid Fuzzy Wavelet Neural Network Model with Self‐Adapted Fuzzy c‐Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers
M Huang, D Tian, H Liu, C Zhang, X Yi, J Cai… - …, 2018 - Wiley Online Library
Water quality prediction is the basis of water environmental planning, evaluation, and
management. In this work, a novel intelligent prediction model based on the fuzzy wavelet …
management. In this work, a novel intelligent prediction model based on the fuzzy wavelet …
Sensor-less external force detection for industrial manipulators to facilitate physical human-robot interaction
B Yao, Z Zhou, L Wang, W Xu, Q Liu - Journal of Mechanical Science and …, 2018 - Springer
Sensor-less external force detection is important for industrial robots which are usually not
equipped with external force sensors to be applied in physical human-robot interaction …
equipped with external force sensors to be applied in physical human-robot interaction …
Adaptive fuzzy-wavelet neural network identification core for reinforced control of general arbitrarily switched nonlinear multi input-multi output dynamic systems
MR Homaeinezhad, S Yaqubi - Applied Soft Computing, 2020 - Elsevier
In control of switched systems with undetectable switching signals, robustness and precision
are on two different sides of a spectrum. In one hand, robustness to significant modeling …
are on two different sides of a spectrum. In one hand, robustness to significant modeling …
Adaptive impedance control of uncertain robot manipulators with saturation effect based on dynamic surface technique and self-recurrent wavelet neural networks
Saturation nonlinearities, among the known challenges in control engineering, are
ubiquitous in robotic systems and can lead to stability and performance degradation. In this …
ubiquitous in robotic systems and can lead to stability and performance degradation. In this …