Multivariable CRHPC (constrained receding-horizon predictive control) algorithm with improved numerical properties

• Autorzy: Ławryńczuk M. , Tatjewski P.
• Języki publikacji: EN

Abstrakty

EN

This paper is concerned with the stabilising constrained receding-horizon predictive control algorithm (CRHPC) for multivariable processes. The optimal inputprofile is calculated by means of a new method the purpose of witch is to avoid inverting usually ill-conditioned matrices. additionally, ralatively simple formulae for calculating free and forced output predictions for the ARX process model, as well as the analytical stabilising control law in the unconstained case are derived, without the necessity of solving a matrix Diophantine equation.

Słowa kluczowe

EN

model predictive control; stabilising terminal constraint; singular value decomposition; least squares methods

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2003
• Tom: Vol. 13, no. 1
• Strony: 59--79
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Ławryńczuk M.

• Warsaw University of Technology, Institute of Control and Computation Engineering ul. Nowowiejska 15/19, 00-665 Warszawa, Poland

autor

Tatjewski P.

• Warsaw University of Technology, Institute of Control and Computation Engineering ul. Nowowiejska 15/19, 00-665 Warszawa, Poland

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