ArticleFrontiers in neurorobotics2022
Adaptive control of time delay teleoperation system with uncertain dynamics.
Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
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- Advancing Stepped-Waveform Radar Jamming Techniques for Robust False-Target Generation against LFM-CFAR Systems.Sensors (Basel, Switzerland) · 2023Article
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- A modified weighted chimp optimization algorithm for training feed-forward neural network.PloS one · 2023Article
- Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends.Intelligent service robotics · 2023Review
- Classification of Marine Mammals Using the Trained Multilayer Perceptron Neural Network with the Whale Algorithm Developed with the Fuzzy System.Computational intelligence and neuroscience · 2022Article
- Cross-site scripting attack detection based on a modified convolution neural network.Frontiers in computational neuroscience · 2022Article
- Adaptive Neural Network Control of Time Delay Teleoperation System Based on Model Approximation.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
7 authors.
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Abstract
A bilateral adaptive control method based on PEB control structure is designed for a class of time-delay force feedback teleoperation system without external interference and internal friction to study the uncertainty of dynamic parameters and time delay. The stability and tracking performances of the closed-loop constant time delay teleoperation system are analyzed by Lyapunov stability theory. Finally, the controller designed in this paper is successfully applied to the teleoperation system composed of a two-degree of freedom rotating manipulator as the master robot and the slave robot. The simulation is carried out in no operator and environment force or with operator and environment force. The adaptive bilateral control method's control performance is compared with that of the traditional time-delay teleoperation system. Finally, it is verified that the method has good control performance.
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