In this section
@article{Angeli:2016:10.1016/j.arcontrol.2016.04.003,
author = {Angeli, D and Casavola, A and Tedesco, F},
doi = {10.1016/j.arcontrol.2016.04.003},
journal = {Annual Reviews in Control},
pages = {218--224},
title = {Theoretical advances on Economic Model Predictive Control with time-varying costs},
url = {http://dx.doi.org/10.1016/j.arcontrol.2016.04.003},
volume = {41},
year = {2016}
}
TY - JOUR
AB - Economic Model Predictive Control is a technique for optimization of economic revenues arising from controlled dynamical processes that has established itself as a variant of standard Tracking Model Predictive Control. It departs from the latter in that arbitrary cost functions are allowed in the formulation of the stage cost. This paper takes a further step in expanding the applicability of Economic Model Predictive Control by illustrating how the paradigm can be adapted in order to accommodate time-varying or parameter-varying costs.
AU - Angeli,D
AU - Casavola,A
AU - Tedesco,F
DO - 10.1016/j.arcontrol.2016.04.003
EP - 224
PY - 2016///
SN - 1872-9088
SP - 218
TI - Theoretical advances on Economic Model Predictive Control with time-varying costs
T2 - Annual Reviews in Control
UR - http://dx.doi.org/10.1016/j.arcontrol.2016.04.003
UR - http://hdl.handle.net/10044/1/33475
VL - 41
ER -