Direct optimal control and model predictive control
Artikel i vetenskaplig tidskrift, 2017

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.

Författare

Mario Zanon

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

Andrea Boccia

Massachusetts Institute of Technology (MIT)

Vryan Gil S. Palma

Universität Bayreuth

Sonja Parenti

ESG Elektroniksystem und Logistik GmbH

Ilaria Xausa

Volkswagen

Lecture Notes in Mathematics

0075-8434 (ISSN)

Vol. 2180 263-382

Ämneskategorier

Maskinteknik

DOI

10.1007/978-3-319-60771-9_3