Adaptive Neural Network Synchronous Tracking Control for Teleoperation Robots Under Event-Triggered Mechanism

This letter proposes an adaptive neural network synchronous tracking control strategy that can be suitable for event-triggered mechanism in response to the modeling uncertainties and communication delays in bilateral teleoperation systems. Through introducing the event-triggered mechanism with the a...

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Veröffentlicht in:	IEEE robotics and automation letters 2024-11, Vol.9 (11), p.10010-10017
Hauptverfasser:	Wang, Fujie, Yu, Yuanjia, Li, Xing, Luo, Junxuan, Zhong, Jinming
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Adaptive systems Communication Communications systems Convergence End effectors Event detection event-triggered Fuzzy control Jacobian matrices Main-secondary Network control neural and fuzzy control Neural networks Robot control Robots Synchronism Teleoperators Telerobotics Telerobotics and teleoperation Time synchronization Tracking control Tracking errors Uncertainty
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