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Direct optimal control and model predictive control

Mario Zanon (Institutionen för signaler och system, Mekatronik) ; Andrea Boccia ; Vryan Gil S. Palma ; Sonja Parenti ; Ilaria Xausa
Lecture Notes in Mathematics (00758434). Vol. 2180 (2017), p. 263-382.
[Artikel, refereegranskad vetenskaplig]

Model predictive control is a feedback control technique based on repeatedly solving optimal control problems. Direct methods for optimal control have gained popularity especially for practical applications, due to their flexibility. In this chapter we first present the state of the art in MPC stability theory. Then, we introduce the numerical methods used for direct optimal control and some variants specifically tailored to MPC. We conclude the chapter with five application examples. © Springer International Publishing AG 2017.

Denna post skapades 2017-10-04.
CPL Pubid: 252310


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Institutioner (Chalmers)

Institutionen för signaler och system, Mekatronik (2005-2017)


Teknisk mekanik

Chalmers infrastruktur