Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter

Manuel Acosta, Stratis Kanarachos

Research output: Contribution to conference › Paper

Original languageEnglish
Publication statusPublished - 1 Sep 2018
EventInternational Conference On Evolutionary And Deterministic Methods For Design Optimization And Control With Applications To Industrial And Societal Problems - Madrid, Spain
Duration: 13 Sep 2017 → 15 Sep 2017
http://eurogen2017.etsiae.upm.es/

Conference

ConferenceInternational Conference On Evolutionary And Deterministic Methods For Design Optimization And Control With Applications To Industrial And Societal Problems
Abbreviated titleEUROGEN 2017
CountrySpain
CityMadrid
Period13/09/17 → 15/09/17
Internet address

Research Output

Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter

Acosta, M. & Kanarachos, S., Sep 2018, Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Springer Verlag, p. 275-290 (Computational Methods in Applied Sciences; vol. 49).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

    • Cite this

    Acosta, M., & Kanarachos, S. (2018). Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter. Paper presented at International Conference On Evolutionary And Deterministic Methods For Design Optimization And Control With Applications To Industrial And Societal Problems, Madrid, Spain.