Control Improvement Benefit Estimation

  • Paweł D. DomańskiEmail author
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 245)


This chapter addresses the separate subject, however closely linked to the CPA. Estimation of the potential improvement benefit due to the better control uses some of the knowledge about control quality. But, what is more important, it tries to foresee what improvements might be brought by better control. Apart from the classical the same limit methodology, which is based on the normality assumption, the fat-tail non-Gaussian extension is proposed and described. The comparison between the methods is presented and discussed.


  1. 1.
    Ali, M.K.: Assessing economic benefits of advanced control. In: 5th Asian Control Conference, Process Control in the Chemical Industries, Chemical Engineering Department, pp. 146–159. King Saud University, Riyadh, Kingdom of Saudi Arabia (2002)Google Scholar
  2. 2.
    Asawachatroj, A., Banjerdpongchai, D., Busaratragoon, P.: Economic assessment of APC and RTO using option to expand. Eng. J. 20(5), 115–134 (2016). Scholar
  3. 3.
    Bauer, M., Craig, I.K.: Economic assessment of advanced process control a survey and framework. J. Process Control 18(1), 2–18 (2008)CrossRefGoogle Scholar
  4. 4.
    Bauer, M., Craig, I.K., Tolsma, E., de Beer, H.: A profit index for assessing the benefits of process control. Ind. Eng. Chem. Res. 46(17), 5614–5623 (2007)CrossRefGoogle Scholar
  5. 5.
    Dolenc, J.: Estimating benefits from process automation. Emerson Global Users Exchange. Grapevine, TX (2007)
  6. 6.
    Domański, P.D.: Non-Gaussian and persistence measures for control loop quality assessment. Chaos: An Interdiscip. J. Nonlinear Sci. 26(4), 043,105 (2016)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Domański, P.D.: Non-Gaussian assessment of the benefits from improved control. Preprints of the IFAC World Congress 2017, pp. 5092–5097. Toulouse, France (2017)CrossRefGoogle Scholar
  8. 8.
    Domański, P.D., Marusak, P.M.: Estimation of control improvement benefit with \({\alpha }\)-stable distribution. In: Kacprzyk, J., Mitkowski, W., Oprzedkiewicz, K., Skruch, P. (Eds.) Trends in Advanced Intelligent Control, Optimization and Automation, vol 577, pp. 128–137. Springer International Publishing AG (2017)Google Scholar
  9. 9.
    Domański, P.D., Golonka, S., Jankowski, R., Kalbarczyk, P., Moszowski, B.: Control rehabilitation impact on production efficiency of ammonia synthesis installation. Ind. Eng. Chem. Res. 55(39), 10,366–10,376 (2016)CrossRefGoogle Scholar
  10. 10.
    Gabor, J., Pakulski, D., Domański, P.D., Świrski, K.: Closed loop NOx control and optimization using neural networks. In: IFAC Symposium on Power Plants and Power Systems Control, Brussels, Belgium, pp. 188–196 (2000)Google Scholar
  11. 11.
    Laing, D., Uduehi, D., Ordys, A.: Financial benefits of advanced control. Benchmarking and optimization of a crude oil production platform. Proc. Am. Control Conf. 6, 4330–4331 (2001)CrossRefGoogle Scholar
  12. 12.
    Latour, P.R., Sharpe, J.H., Delaney, M.C.: Estimating benefits from advanced control. ISA Trans. 25(4), 13–21 (1986)Google Scholar
  13. 13.
    Marlin, T.E., Perkins, J.D., Barton, G.W., Brisk, M.L.: Benefits from process control: results of a joint industry-university study. J. Process Control 1(2), 68–83 (1991)CrossRefGoogle Scholar
  14. 14.
    Tolfo, F.: A methodology to assess the economic returns of advanced control projects. In: American Control Conference 1983, pp. 1141–1146. IEEE (1983)Google Scholar
  15. 15.
    Wei, D., Craig, I.: Development of performance functions for economic performance assessment of process control systems. In: 9th IEEE AFRICON, pp. 1–6 (2009)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute of Control and Computation EngineeringWarsaw University of TechnologyWarsawPoland

Personalised recommendations