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Mathematical Problems in Engineering
Volume 2012, Article ID 803912, 16 pages
http://dx.doi.org/10.1155/2012/803912
Research Article

Fuzzy Control and Connected Region Marking Algorithm-Based SEM Nanomanipulation

1State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China
2School of Automation, Harbin University of Science and Technology, Harbin 150080, China

Received 14 September 2012; Accepted 18 October 2012

Academic Editor: Peng Shi

Copyright © 2012 Dongjie Li et al. 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.

Linked References

  1. B. E. Kratochvil, L. Dong, and B. J. Nelson, “Real-time rigid-body visual tracking in a scanning electron microscope,” in Proceedings of the 7th IEEE International Conference on Nanotechnology (IEEE-NANO '07), pp. 442–447, Hong Kong, China, August 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. V. Eichhorn, S. Fatikow, T. Wich et al., “Depth-detection methods for microgripper based CNT manipulation in a scanning electron microscope,” Journal of Micro-Nano Mechatronics, vol. 4, pp. 27–36, 2008. View at Publisher · View at Google Scholar
  3. S. Fatikow, T. Wich, H. Hülsen, T. Sievers, and M. Jähnisch, “Microrobot system for automatic nanohandling inside a scanning electron microscope,” IEEE/ASME Transactions on Mechatronics, vol. 12, no. 3, pp. 244–252, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Sitti, “Microscale and nanoscale robotics systems,” IEEE Robotics and Automation Magazine, vol. 14, no. 1, pp. 53–60, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. S. Fatikow, C. Dahmen, T. Wortmann, and R. Tunnell, “Vision feedback for automated nanohandling,” in Proceedings of the IEEE International Conference on Information and Automation (ICIA '09), pp. 806–811, Zhuhai, China, June 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. L. M. Penga, Q. Chena, X. L. Lianga et al., “Performing probe experiments in the SEM,” Micron, vol. 35, pp. 495–502, 2004. View at Publisher · View at Google Scholar
  7. S. Lining, T. Fusheng, R. Weibin, Z. Jiang, and K. Minxiu, “Research on the architecture of virtual reality based on micromanipulation robot,” in Modular Machine Tool & Automatic Manufacturing Technique, vol. 7, pp. 9–14, 2003.
  8. C. D. Onal and M. Sitti, “Teleoperated 3-D force feedback from the nanoscale with an atomic force microscope,” IEEE Transactions on Nanotechnology, vol. 9, no. 1, pp. 46–54, 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Hua, Y. Cui, H. Li, Y. Wang, and N. Xi, “Network-based tele-robotic system with guidance functionality from virtual force,” Robot, vol. 32, no. 4, pp. 522–528, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Bolopion, C. Stolle, R. Tunnell, S. Haliyo, S. Régnier, and S. Fatikow, “Remote Microscale Teleoperation through Virtual Reality and Haptic Feedback,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.
  11. E. Onieva, V. Milanes, J. Perez, and T. de Pedro, “Genetic fuzzy-based steering wheel controller using a mass-produced car,” International Journal of Innovative Computing Information and Control, vol. 8, no. 5, pp. 3477–3494, 2012. View at Google Scholar
  12. J. Zhang, P. Shi, and Y. Xia, “Fuzzy delay compensation control for t-s fuzzy systems over network,” IEEE Trans on Systems, Man and Cybernetics B, no. 99, pp. 1–10, 2012. View at Publisher · View at Google Scholar
  13. J. Zhang, P. Shi, and Y. Xia, “Robust adaptive sliding-mode control for fuzzy systems with mismatched uncertainties,” IEEE Transactions on Fuzzy Systems, vol. 18, no. 4, pp. 700–711, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. S. K. Nguang, P. Shi, and S. Ding, “Fault detection for uncertain fuzzy systems: an LMI approach,” IEEE Transactions on Fuzzy Systems, vol. 15, no. 6, pp. 1251–1262, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Wu, X. Su, P. Shi, and J. Qiu, “Model approximation for discrete-time state-delay systems in the TS fuzzy framework,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 2, pp. 366–378, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. L. Wu, X. Su, P. Shi, and J. Qiu, “A new approach to stability analysis and stabilization of discrete-time T-S fuzzy time-varying delay systems,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 41, no. 1, pp. 273–286, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. Q. Zhou, P. Shi, J. Lu, and S. Xu, “Adaptive output feedback fuzzy tracking control for a class of nonlinear systems,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 5, pp. 972–982, 2011. View at Publisher · View at Google Scholar
  18. J. Yu, S. H. Lee, and M. Jeon, “An adaptive ACO-based fuzzy clustering algorithm for noisy image segmentation,” International Journal of Innovative Computing Information and Control, vol. 8, no. 6, pp. 3907–3918, 2012. View at Google Scholar
  19. M. I. Razzak, S. A. Husain, A. A. Mirza, and A. Belaid, “Fuzzy based preprocessing using fusion of online and offline trait for online urdu script based languages character recognition,” International Journal of Innovative Computing Information and Control, vol. 8, no. 5, pp. 3149–3161, 2012. View at Google Scholar
  20. H. C. Chang, G. S. Liang, C. W. Chu, and C. H. Chou, “Prioritizing service attributes for improvement using fuzzy zone of tolerance,” International Journal of Innovative Computing Information and Control A, vol. 8, no. 1, pp. 75–89, 2012. View at Google Scholar
  21. W. Vogl, B. K. L. Ma, and M. Sitti, “Augmented reality user interface for an atomic force microscope-based nanorobotic system,” IEEE Transactions on Nanotechnology, vol. 5, no. 4, pp. 397–406, 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. D. Jasper, “High-speed position tracking for nanohandling inside scanning electron microscopes,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '09), pp. 508–513, Kobe, Japan, May 2009. View at Publisher · View at Google Scholar · View at Scopus
  23. D. Jasper and S. Fatikow, “Automated high-speed nanopositioning inside scanning electron microscopes,” in Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE '10), pp. 704–709, Toronto, Canada, August 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. S. M. Mousavi, M. A. Mohagheghi, A. Mousavi-Jerrahi, A. Nahvijou, and Z. Seddighi, “Outcome of breast cancer in Iran: a study of Tehran Cancer Registry data,” Asian Pacific Journal of Cancer Prevention, vol. 9, no. 2, pp. 275–278, 2008. View at Google Scholar
  25. S. Redon, Y. J. Kim, M. C. Lin, D. Manocha, and J. Templeman, “Interactive and continuous collision detection for avatars in virtual environments,” in Proceedings of the IEEE Virtual Reality (VR '04), pp. 117–283, March 2004. View at Publisher · View at Google Scholar · View at Scopus
  26. M. A. Greminger and B. J. Nelson, “Vision-Based Force Measurement,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 3, pp. 290–298, 2004. View at Publisher · View at Google Scholar · View at Scopus
  27. B. Spanlang, J. M. Normand, E. Giannopoulos, and M. Slater, “GPU based detection and mapping of collisions for haptic rendering in immersive virtual reality,” in Proceedings of the 9th IEEE International Symposium on Haptic Audio-Visual Environments and Games (HAVE '10), pp. 41–44, Phoenix, Ariz, USA, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  28. A. Lécuyer, M. Vidal, O. Joly, C. Mégard, and A. Berthoz, “Can haptic feedback improve the perception of self-motion in virtual reality?” in Proceedings of the 12th International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS '04), pp. 208–215, March 2004. View at Scopus
  29. S. H. Ahn, B. H. Son, S. W. Kim, S. Kim, J. Jeong et al., “Poor outcome of hormone receptor-positive breast cancer at very young age is due to tamoxifen resistance: Nationwide survival data in Korea—a report from the Korean Breast Cancer Society,” Journal of Clinical Oncology, vol. 25, no. 17, pp. 2360–2368, 2007. View at Google Scholar
  30. L. F. Wang, Research of the adhesive contact of microparts and micromanipulation methods substrated adhesion forces [Ph.D. thesis], Harbin Institute of Technology, 2008.