System Identification for Automotive Systems: Opportunities and Challenges

摘要: Without control many essential targets of the automotive industry could not be achieved. As relies directly or indirectly on models and model quality influences performance, especially in feedforward structures as widely used world, good are needed. Good first principle would choice, their determination is frequently difficult even impossible. Against this background methods tools developed by system identification community to obtain fast reliably models, but a large gap seems exist: neither these sufficiently well known community, nor enough attention paid needs industry. This introduction summarizes state art highlights possible critical issues for future cooperation they arose from an ACCM Workshop Identification Automotive Systems recently held Linz, Austria.