Adaptive Finite Time Control for Wearable Exoskeletons Based on Ultra-local Model and Radial Basis Function Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12555-019-0975-7.pdf
Reference45 articles.
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2. H. Kazerooni, R. Steger, and L. H. Huang, “Hybrid control of the Berkeley lower extremity exoskeleton(BLEEX),” The International Journal of Robotics Research, vol, 25, no. 5, pp. 561–573, May 2006.
3. U. Nagarajan, G. Aguirreollinger, and A. Goswami, “Integral admittance shaping: a unified framework for active exoskeleton control,” Robotics and Autonomous Systems, vol. 75, no. B, pp. 310–324, January 2016.
4. T. George, S. George, and K. S. Sivanandan, “Sensing, processing and application of EMG signals for HAL (Hybrid Assistive Limb),” Proc. of International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011), IET, pp. 1–5, January 2011.
5. G. Zeilig, H. Weingarden, and M. Zwecker, “Safety and tolerance of the ReWalk (TM) exoskeleton suit for ambulation by people with complete spinal cord injury: A pilot study,” The Journal of Spinal Cord Medicine, vol. 35, no. 2, pp. 96–101, February 2012.
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