“Interaction between control and estimation in nonlinear MPC”

Authors: Morten Hovd and Robert R. Bitmead,
Affiliation: NTNU, Department of Engineering Cybernetics and University of California San Diego
Reference: 2005, Vol 26, No 3, pp. 165-174.

Keywords: Nonlinear MPC, state estimation

Abstract: This paper shows how to take the quality of the state estimation into account in the formulation of the optimization criterion for model predictive control (MPC). This is relevant for the control of nonlinear plants, for which the separation principle in general does not apply. The method is illustrated on an example which is locally weakly unobservable at the reference state.

PDF PDF (165 Kb)        DOI: 10.4173/mic.2005.3.4

DOI forward links to this article:
[1] Boris Houska, Dries Telen, Filip Logist and Jan Van Impe (2017), doi:10.1137/15M1049865
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[4] Esteban López, Lina M. Gómez and Hernán Alvarez (2019), doi:10.1016/j.jprocont.2019.03.018
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  title={{Interaction between control and estimation in nonlinear MPC}},
  author={Hovd, Morten and Bitmead, Robert R.},
  journal={Modeling, Identification and Control},
  publisher={Norwegian Society of Automatic Control}