Skip to main content

Explicit Approximate Model Predictive Control of Constrained Nonlinear Systems with Quantized Input

  • Chapter
Nonlinear Model Predictive Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 384))

Abstract

In this paper, a Model Predictive Control problem for constrained nonlinear systems with quantized input is formulated and represented as a multi-parametric Nonlinear Integer Programming (mp-NIP) problem. Then, a computational method for explicit approximate solution of the resulting mp-NIP problem is suggested. The proposed approximate mp-NIP approach is applied to the design of an explicit approximate MPC controller for a clutch actuator with on/off valves.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bemporad, A.: Multiparametric nonlinear integer programming and explicit quantized optimal control. In: 42-nd IEEE Conference an Decision and Control, Maui, Hawaii, USA (December 2003)

    Google Scholar 

  2. Fiacco, A.V.: Introduction to sensitivity and stability analysis in nonlinear programming. Academic Press, Orlando (1983)

    MATH  Google Scholar 

  3. Grancharova, A., Johansen, T.A., Tøndel, P.: Computational aspects of approximate explicit nonlinear model predictive control. In: Findeisen, R., Allgöwer, F., Biegler, L. (eds.) Assessment and Future Directions of Nonlinear Model Predictive Control. LNCIS, vol. 358, pp. 181–192. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Holmström, K., Göran, A.O., Edvall, M.M.: User’s guide for TOMLAB (April 2007)

    Google Scholar 

  5. Jones, D.R.: The DIRECT global optimization algorithm. In: Floudas, C.A., Pardalos, P.M. (eds.) Encyclopedia of optimization, vol. 1, pp. 431–440. Kluwer, Dordrecht (2001)

    Chapter  Google Scholar 

  6. Kaasa, G.O.: Nonlinear output-feedback control applied to electro-pneumatic clutch actuation in heavy-duty trucks. Ph.D. Thesis, Norwegian University of Science and Technology (2006)

    Google Scholar 

  7. Langjord, H., Johansen, T.A., Hespanha, J.P.: Switched control of an electropneumatic clutch actuator using on/off valves. In: American Control Conference, Seattle (2008)

    Google Scholar 

  8. Picasso, B., Pancanti, S., Bemporad, A., Bicchi, A.: Receding-horizon control of LTI systems with quantized inputs. In: IFAC Conference on Analysis and Design of Hybrid Systems, Saint Malo, France (June 2002)

    Google Scholar 

  9. Sande, H., Johansen, T.A., Kaasa, G.O., Snare, S.R., Bratli, C.: Switched backstepping control of an electropneumatic clutch actuator using on/off valves. In: American Control Conference, New York (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Grancharova, A., Johansen, T.A. (2009). Explicit Approximate Model Predictive Control of Constrained Nonlinear Systems with Quantized Input. In: Magni, L., Raimondo, D.M., Allgöwer, F. (eds) Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01094-1_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01094-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01093-4

  • Online ISBN: 978-3-642-01094-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics