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Signal Processing for Control

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Handbook of Signal Processing Systems

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Abstract

Signal processing and control are closely related. In fact, many controllers can be viewed as a special kind of signal processor that converts an exogenous input signal and a feedback signal into a control signal. Because the controller exists inside of a feedback loop, it is subject to constraints and limitations that do not apply to other signal processors. A well known example is that a stable controller in series with a stable plant can, because of the feedback, result in an unstable closed-loop system. Further constraints arise because the control signal drives a physical actuator that has limited range. The complexity of the signal processing in a control system is often quite low, as is illustrated by the Proportional + Integral + Derivative (PID) controller. Model predictive control is described as an exemplar of controllers with very demanding signal processing. ABS brakes are used to illustrate the possibilities for improved controller capability created by digital signal processing. Finally, suggestions for further reading are included.

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References

  1. Dorf, R.C., Bishop, R. H.: Modern Control Systems, (11th edition), Pearson Prentice-Hall, Upper Saddle River, (2008)

    Google Scholar 

  2. Franklin, G.F., Powell, J.D., Emami-Naeini, A.: Feedback Control of Dynamic Systems (5th edition), Prentice-Hall, Upper Saddle River, (2005)

    Google Scholar 

  3. Franklin, G.F., Powell, J.D., Workman, M.: Digital Control of Dynamic Systems (3rd edition), Addison-Wesley, Menlo Park (1998)

    Google Scholar 

  4. Goodwin, G.C., Graebe, S.F., Salgado, M.E.: Control System Design, Prentice-Hall, Upper Saddle River, (2001)

    Google Scholar 

  5. Astrom, K.J., Hagglund, T.: PID Controllers: Theory, Design, and Tuning (2nd edtion), International Society for Measurement and Control, Seattle, (1995)

    Google Scholar 

  6. Khalil, H.K. Nonlinear Systems (3rd edition), Prentice-Hall, Upper Saddle River, (2001)

    Google Scholar 

  7. Kailath, T. Linear Systems, Prentice-Hall, Englewood Cliffs, (1980)

    MATH  Google Scholar 

  8. Rugh, W.J.: Linear System Theory (2nd edition), Prentice-Hall, Upper Saddle River, (1996)

    MATH  Google Scholar 

  9. Levine, W.S. (Editor): The Control Handbook, CRC Press, Boca Raton (1995)

    Google Scholar 

  10. Hristu-Varsakelis, D., Levine, W.S.: Handbook of Networked and Embedded Control Systems, Birkhauser, Boston, (2005)

    Book  MATH  Google Scholar 

  11. Camacho, E.F., Bordons, C.: Model Predictive Control, 2nd Edition, Springer, London, (2004)

    MATH  Google Scholar 

  12. Looze, D. P., Freudenberg, J. S.: Tradeoffs and limitations in feedback systems. The Control Handbook, pp 537–550, CRC Press, Boca Raton(1995)

    Google Scholar 

  13. Bosch: Driving Safety Systems (2nd edition), SAE International, Warrenton, (1999)

    Google Scholar 

  14. Yang, J.S., Levine, W.S.: Specification of control systems. The Control Handbook, pp 158–169, CRC Press, Boca Raton (1995)

    Google Scholar 

  15. Lublin, L., Athans, M.: Linear quadratic regulator control. The Control Handbook, pp 635–650, CRC Press, Boca Raton (1995)

    Google Scholar 

  16. Scokaert, P. O. M, Mayne, D. Q., Rawlings, J. B.: Suboptimal model predictive control (feasibility implies stability). IEEE Transactions on Automatic Control, 44(3) pp 648–654 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  17. Maciejowski, J. M.: Predictive control with constraints. Prentice Hall, Englewood Cliffs (2002)

    Google Scholar 

  18. Kwon, W. H., Han, S.: Receding Horizon Control: Model Predictive Control for State Models. Springer, London (2005)

    Google Scholar 

  19. Rawlings, J. B.: Tutorial overview of model predictive control. IEEE Control Systems Magazine, 20(3) pp 38–52, (2000)

    Article  MathSciNet  Google Scholar 

  20. Qin, S. J., Badgwell, T. A.: A survey of model predictive control technology. Control Engineering Practice, 11, pp 733–764 (2003)

    Article  Google Scholar 

  21. Hallum, C.: The magic of the drag tire. SAE Paper 942484, Presented at SAE MSEC (1994)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of ECE, University of Maryland, College Park, MD, 20742, USA

    William S. Levine

Authors
  1. William S. Levine
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Correspondence to William S. Levine .

Editor information

Editors and Affiliations

  1. , Dept. of Electrical and, University of Maryland, A. V. Williams Bldg. 2311, College Park, 20742, Maryland, USA

    Shuvra S. Bhattacharyya

  2. Leiden Inst. Advanced Computer Science, Leiden Embedded Research Center, Leiden University, Niels Bohrweg 1, Leiden, 2333 CA, Netherlands

    Ed F. Deprettere

  3. RWTH Aachen University, Templergraben 55, Aachen, 52056, Germany

    Rainer Leupers

  4. , Department of Computer Systems, Tampere University of Technology, Korkeakoulunkatu 1, Tampere, 33720, Finland

    Jarmo Takala

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Levine, W.S. (2010). Signal Processing for Control. In: Bhattacharyya, S., Deprettere, E., Leupers, R., Takala, J. (eds) Handbook of Signal Processing Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6345-1_1

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  • DOI: https://doi.org/10.1007/978-1-4419-6345-1_1

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-6344-4

  • Online ISBN: 978-1-4419-6345-1

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