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

Manuel Acosta; Stratis Kanarachos

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

School of Mechanical, Aerospace and Automotive Engineering

Research output: Contribution to conference › Paper › peer-review

Original language	English
Publication status	Published - 1 Sep 2018
Event	International 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

Conference	International Conference On Evolutionary And Deterministic Methods For Design Optimization And Control With Applications To Industrial And Societal Problems
Abbreviated title	EUROGEN 2017
Country	Spain
City	Madrid
Period	13/09/17 → 15/09/17
Internet address	http://eurogen2017.etsiae.upm.es/

1 Chapter

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 › peer-review

Cite this

Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter. / Acosta, Manuel; Kanarachos, Stratis.

2018. Paper presented at International Conference On Evolutionary And Deterministic Methods For Design Optimization And Control With Applications To Industrial And Societal Problems, Madrid, Spain.

Research output: Contribution to conference › Paper › peer-review

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