System Identification for Automotive Systems: Opportunities and Challenges
2012 (English)In: Identification for Automotive Systems / [ed] Daniel Alberer, Håkan Hjalmarsson, Luigi del Re, Springer London, 2012, 1-10 p.Chapter in book (Refereed)
Without control many essential targets of the automotive industry could not be achieved. As control relies directly or indirectly on models and model quality directly influences the control performance, especially in feedforward structures as widely used in the automotive world, good models are needed. Good first principle models would be the first choice, and their determination is frequently difficult or even impossible. Against this background methods and tools developed by the system identification community could be used to obtain fast and reliably models, but a large gap seems to exist: neither these methods are sufficiently well known in the automotive community, nor enough attention is paid by the system identification community to the needs of the automotive industry. This introduction summarizes the state of the art and highlights possible critical issues for a future cooperation as they arose from an ACCM Workshop on Identification for Automotive Systems recently held in Linz, Austria.
Place, publisher, year, edition, pages
Springer London, 2012. 1-10 p.
, Lecture Notes in Control and Information Sciences, ISSN 0170-8643 ; 418
industry, Quality control
Control Engineering Vehicle Engineering
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-73397DOI: 10.1007/978-1-4471-2221-0_1ScopusID: 2-s2.0-84855873108ISBN: 978-144712220-3OAI: oai:DiVA.org:kth-73397DiVA: diva2:488889
FunderICT - The Next Generation
QC 201208032012-02-022012-02-022013-04-15Bibliographically approved