Model predictive control with integrated experiment design for output error systems
2013 (English)In: 2013 European Control Conference, ECC 2013, IEEE , 2013, 3790-3795 p.Conference paper (Refereed)
Model predictive control has become an increasingly popular control strategy thanks to the ability to handle constrained systems. Obtaining the required models through system identification is often a time consuming and costly process. Applications oriented experiment design is a means of reducing this effort but is often formulated in terms of the input's spectral properties. Therefore, time domain constraints are difficult to enforce. In this contribution we combine MPC with experiment design to formulate a control problem where excitation constraints are included. The benefits are that time domain constraints are respected while the experiment design criteria are fulfilled. The method is evaluated on a numerical example.
Place, publisher, year, edition, pages
IEEE , 2013. 3790-3795 p.
Constrained systems, Control problems, Control strategies, Excitation constraints, Experiment design, Output error systems, Spectral properties, Time domain constraints
IdentifiersURN: urn:nbn:se:kth:diva-137317ISI: 000332509704032ScopusID: 2-s2.0-84893212773ISBN: 978-303303962-9OAI: oai:DiVA.org:kth-137317DiVA: diva2:678712
2013 12th European Control Conference, ECC 2013; Zurich; Switzerland; 17 July 2013 through 19 July 2013
QC 201402182013-12-122013-12-122014-04-24Bibliographically approved