Skip to main content

Study of Sampled Data Control Approach towards Prosthetic Eye Model for Initiating the Non Deterministic Aspect

  • Conference paper
  • 1751 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 292))

Abstract

Our paper is based on the glimpse of prosthetic or robotic eye modelling by incorporating advanced discrete domain control approaches as well as sample data control representation. A short review and preface about prosthetic or robotic eye is given in the introductory part. The linear control representation is given in the next portion. The discrete domain analysis with step responses has been furnished in the next portion. Effective stability analysis has been carried out in discrete domain. Sample data control representation for prosthetic eye control modelling has been shown in the next part of our paper. Moreover, an effective and advanced control strategy has been shown in our paper for achieving an efficient hardware based prosthetic or robotic vision system which can be an effective and pre- innovative research in the field of prosthesis and human machine interaction.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Neogi, B., Darbar, R., Ghosal, S., Das, A., Tibarewala, D.N.: Simulation Approach Towards Eye Prosthesis with Clinical Comparisons of Original Human Vision Capture Procedure. In: Proceeding 3rd IEEE Conference on Recent Trends in Information Systems (ReTIS), Kolkata, India, pp. 185–190 (2011)

    Google Scholar 

  2. Chen, S.C., Hallum, L.E., Lovell, N.H., Suaning, G.J.: Learning Prosthetic Vision: A Virtual-Reality Study. IEEE Transaction on Neural System and Rehabilitation Engineering 13(3), 249–255 (2005)

    Article  Google Scholar 

  3. Gu, J.J., Meng, M., Cook, A., Faulkner, M.G., Liu, P.X.: Sensing and Control of a Robotic Prosthetic Eye for Ocular Implant. In: IEEE International Conference on Intelligent Robots and Systems, USA, pp. 2166–2171 (2001)

    Google Scholar 

  4. Gu, J., Meng, M., Faulkner, M.G., Cook, A.: Movement Control System Design for an Artificial Eye Implant. In: IEEE International Conference on SMC, USA, pp. 3735–3740 (1998)

    Google Scholar 

  5. Hager, G.D., Chang, W.-C., Morse, A.S.: Robot Feedback Control Based on Stereo Vision: Towards Calibration-free Hand-Eye Coordination. In: IEEE International Conference on Robotics and Automation, USA, pp. 2850–2856 (1994)

    Google Scholar 

  6. Raymond, T.S., Savant Jr., C.J., Shahian, B., Hostetter, G.H.: Design of Feedback Control System, pp. 236–240. Saunders College Publishing (1994); Research 22(10-11), 941–954 (2003)

    Google Scholar 

  7. Raible, R.H.: A Simplification of Jurys Tabular Form. IEEE Transaction on Automatic Control 250, 248–250 (1974)

    Article  Google Scholar 

  8. Jury, E.I.: Inners and Stability of Dynamic System (1982)

    Google Scholar 

  9. Neogi, B., Roy, A., Mukherjee, S., Ghosal, S., Ghosh, S., Chatterjee, A., Datta, S., Das, A., Tibrewla, D.N.: Simulator Generation of Jurys Stability Test In Z Domain. International J. of Engg. Research and Indu. Appls. (IJERIA) 3(4), 411–421 (2010)

    Google Scholar 

  10. Khalil, H.K.: Performance Recovery Under Output Feedback Sampled Data Stabilization of a Class of Nonlinear Systems. IEEE Transaction Automat., 2173–2184 (2004)

    Google Scholar 

  11. Barbot, J.P., Monaco, S., Normand-Cyrot, D.: Discrete-Time Approximated Linearization of SISO Systems under Output Feedback. IEEE Trans. Automat. 44, 1729–1733 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  12. Kawabe, T., Motoyama, T.: Receding Horizon Control of Sampled Data Systems Based on Dividing Genetic Computation. In: Proceeding Artificial Intelligence and Soft Computing (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mazumder, A., Ghosal, S., Das, S., Neogi, B. (2012). Study of Sampled Data Control Approach towards Prosthetic Eye Model for Initiating the Non Deterministic Aspect. In: Venugopal, K.R., Patnaik, L.M. (eds) Wireless Networks and Computational Intelligence. ICIP 2012. Communications in Computer and Information Science, vol 292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31686-9_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31686-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31685-2

  • Online ISBN: 978-3-642-31686-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics