Skip to main content

Model-Based Control Systems with Intermittent Feedback

  • Chapter
  • First Online:
Model-Based Control of Networked Systems

Abstract

Chapter 4 develops the idea of intermittent feedback in the context of MB-NCS. The general idea using the intermittent feedback approach is to operate a control system in open-loop mode for as long as possible in order to reduce the use of resources (communication resources when applied to NCS) and to change the mode of operation to closed-loop mode in order to recover some desired performance by applying a continuous feedback control action. The main difference is that the update strategy in previous chapters uses instantaneous feedback, that is, a single set of measurements is sent from the sensor node to the controller node once every h time units. In contrast, the intermittent approach establishes a closed-loop operation mode in which multiple measurements are transmitted starting at every h time units.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  1. C. S. Carver, M. F. Scheier, On the self-regulation of behavior. (Cambridge University Press, 1998)

    Google Scholar 

  2. T. Estrada, Model-based Networked Control Systems with intermittent feedback, Ph. D. Dissertation, University of Notre Dame, Notre Dame, IN, 2009

    Google Scholar 

  3. T. Estrada, H. Lin, P. J. Antsaklis, Model based control with intermittent feedback, in Proceedings of the 14th Mediterranean Conference on Control and Automation, 2006, pp. 1–6

    Google Scholar 

  4. T. Estrada, P. J. Antsaklis, Stability of model-based networked control systems with intermittent feedback, in Proceedings of the 17th IFAC World Congress, 2008

    Google Scholar 

  5. E. Garcia, P. J. Antsaklis, Model-based control using a lifting approach, in Proceedings of the 18th Mediterranean Conference on Control and Automation, 2010, pp. 105–110.

    Google Scholar 

  6. E. Garcia, P. J. Antsaklis, Model-based control of continuous-time systems with limited intermittent feedback, in Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013, pp. 452–457

    Google Scholar 

  7. P. J. Gawthrop, L. Wang Intermittent model predictive control, Proceedings of the Institution of Mechanical Engineers, Pt. I, Journal of Systems and Control Engineering, 2007

    Google Scholar 

  8. M. Kim, Controlling chemical turbulence by global delayed feedback: Pattern formation in catalytic co oxidation on pt(110). Science 292(5520), 1357–1360 (2001)

    Article  Google Scholar 

  9. K. Koay, G. Bugmann, Compensating intermittent delayed visual feedback inrobot navigation, Proceedings of the IEEE Conference on Decision and Control Including The Symposium on Adaptive Processes, 2004

    Google Scholar 

  10. N. Leonard, P. Krishnaprasad, Averaging for attitude control and motion planning, in Proceedings of the 32nd IEEE Conference on Decision and Control, 1993, pp. 3098–3104

    Google Scholar 

  11. M.J. Mataric, Reinforcement learning in the multi-robot domain. Auton. Robot. 4, 77–83 (1997)

    Article  Google Scholar 

  12. D. Oldroyd, L. Goldblatt, Effect of uniform versus intermittent product withdrawal from distillation columns, Industrial and Engineering Chemistry, 12, (1946)

    Google Scholar 

  13. T. L. Richard A. Schmidt, Motor Control and Learning: A Behavioral Emphasis. 4th ed., (Human Kinetics, 2005)

    Google Scholar 

  14. E. Ronco, T. Arsan, P. J. Gawthrop, Open-loop intermittent feedback control: practical continuous-time GPC, IEE Proceedings-Control Theory and Applications, 1999

    Google Scholar 

  15. E. Ronco, D. J. Hill, Open-loop intermittent feedback optimal predictive control: a human movement control model, NIPS99, 1999

    Google Scholar 

  16. R.S.R. Ronsse, P. Lefevre, Sensorless stabilization of bounce juggling. IEEE T. Robotic. 2(1), 147–159 (2006)

    Article  Google Scholar 

  17. B.H. Salzberg, A.J. Wheeler, L.T. Devar, B.L. Hopkins, The effect of intermittent feedback and intermittent contingent access to play on printing of kindergarten children. J. Appl. Behav. Anal. 4(3), 163–171 (1971)

    Article  Google Scholar 

  18. B. Skinner, About behaviorism. Vintage, 1st ed., 1974

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Garcia, E., Antsaklis, P.J., Montestruque, L.A. (2014). Model-Based Control Systems with Intermittent Feedback. In: Model-Based Control of Networked Systems. Systems & Control: Foundations & Applications. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-07803-8_4

Download citation

Publish with us

Policies and ethics