Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 464276, 12 pages
Research Article

Tracking Control of a Leg Rehabilitation Machine Driven by Pneumatic Artificial Muscles Using Composite Fuzzy Theory

Department of Mechanical and Computer-Aided Engineering, St. John’s University, No. 499, Section 4, Tam King Road, Tamsui District, New Taipei City 25135, Taiwan

Received 14 November 2013; Accepted 22 December 2013; Published 18 March 2014

Academic Editors: N.-I. Kim and K. I. Ramachandran

Copyright © 2014 Ming-Kun Chang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Mehrbakhsh Nilashi, Othman Ibrahim, Vahid Reza Mirabi, Leili Ebrahimi, and Mojtaba Zare, “The role of Security, Design and Content factors on customer trust in mobile commerce,” Journal of Retailing and Consumer Services, vol. 26, pp. 57–69, 2015. View at Publisher · View at Google Scholar
  • Binrui Wang, Zhenwu Guo, Tao Wang, Su Gan, and Yinlian Jin, “Modeling and Sliding Mode Control of Quadruped Robot Driven by Pneumatic Muscles,” Jiqiren/Robot, vol. 39, no. 5, pp. 620–626, 2017. View at Publisher · View at Google Scholar
  • Guo-Yang Shen, Bin-Rui Wang, Ying-Lian Jin, and Ling Wang, “Sliding Mode Control of Cascade Pneumatic Muscles of Elbow Joint Based on Disturbance Observer,” Binggong Xuebao/Acta Armamentarii, vol. 38, no. 4, pp. 793–801, 2017. View at Publisher · View at Google Scholar