Adaptive Event-triggered Tracking Control for A Manipulator Based on Dynamic Neural Network
2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)(2021)
摘要
This paper is focused on the adaptive event-triggered tracking control of a manipulator subjecting to uncertain dynamics and unknown disturbance. To improve the accuracy of estimation and robustness, the adaptive control scheme based on disturbance observer is developed, in which the uncertain parameters are identified by an echo-state dynamic neural network. Moreover, the event-driven signal tran...
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要