Direct optimal control and model predictive control
Journal article, 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.
Author
Mario Zanon
Chalmers, Signals and Systems, Systems and control
Andrea Boccia
Massachusetts Institute of Technology (MIT)
Vryan Gil S. Palma
University of Bayreuth
Sonja Parenti
ESG Elektroniksystem und Logistik GmbH
Ilaria Xausa
Volkswagen
Published in
Lecture Notes in Mathematics
0075-8434 (ISSN) 16179692 (eISSN)
Vol. 2180 p. 263-382Categorizing
Subject Categories (SSIF 2011)
Mechanical Engineering
Identifiers
DOI
10.1007/978-3-319-60771-9_3