What are the MPC benefits

Model predictive control

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    DOI: 10.1109 / TAC.2019.2949350

  • Koehler, J .; Müller, M. A. & Allgöwer, F. (2019): Nonlinear reference tracking: An economic model predictive control perspective, IEEE Trans. Automat. Control, vol. 64, no. 1, pp. 254-269.
    DOI: 10.1109 / TAC.2018.2800789

  • Koehler, Philipp N.; Müller, Matthias A. & Allgöwer, Frank (2018): A distributed economic MPC framework for cooperative control under conflicting objectives, Automatica, 96, 368 - 379
    DOI: 10.1016 / j.automatica.2018.07.001

  • Faulwasser, T .; Grüne, L. & Müller, M. A. (2018): Economic Nonlinear Model Predictive Control, Foundations and Trends in Systems and Control ,, vol. 5, no. 1, pp. 1-98.
    DOI: 10.1561 / 2600000014

  • Houska, B. & Müller, M. A. (2017): Cost-to-travel functions: a new perspective on optimal and model predictive control, Syst. Contr. Lett., Vol. 106, pp. 79-86.
    DOI: 10.1016 / j.sysconle.2017.06.005

  • Müller, Matthias A. & Worthmann, Karl (2017): Quadratic costs do not always work in MPC, Automatica, vol. 82, pp. 269-277.
    DOI: 10.1016 / j.automatica.2017.04.058

  • Müller, M. A. & Allgöwer, F. (2017): Economic and distributed model predictive control: recent developments in optimization-based control, SICE Journal of Control, Measurement, and System Integration, vol. 10, no. 2, pp. 39-52.
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