This paper studies neural network models of vehicle dynamics. We consider both models with a generic layer architecture and models with specialised topologies that hard-wire physics principles. Network pre-wiring is limited to universal laws; hence it does not limit the network modelling abilities on one side but allows more robust and interpretable models on the other side. Four different network types (with and without pre-wired structure, recursive and non-recursive) are compared for the longitudinal dynamics of a car with gears and two controls (brake and engine). Results show that pre-wiring effectively improves the performance. Non-recursive networks also look to be preferable for several reasons.

Modelling longitudinal vehicle dynamics with neural networks / Da Lio, M.; Bortoluzzi, D.; Rosati Papini, G. P.. - In: VEHICLE SYSTEM DYNAMICS. - ISSN 0042-3114. - ELETTRONICO. - currently in press:(2019), pp. 1-19. [10.1080/00423114.2019.1638947]

Modelling longitudinal vehicle dynamics with neural networks

Da Lio M.;Bortoluzzi D.;Rosati Papini G. P.
2019-01-01

Abstract

This paper studies neural network models of vehicle dynamics. We consider both models with a generic layer architecture and models with specialised topologies that hard-wire physics principles. Network pre-wiring is limited to universal laws; hence it does not limit the network modelling abilities on one side but allows more robust and interpretable models on the other side. Four different network types (with and without pre-wired structure, recursive and non-recursive) are compared for the longitudinal dynamics of a car with gears and two controls (brake and engine). Results show that pre-wiring effectively improves the performance. Non-recursive networks also look to be preferable for several reasons.
Da Lio, M.; Bortoluzzi, D.; Rosati Papini, G. P.
Modelling longitudinal vehicle dynamics with neural networks / Da Lio, M.; Bortoluzzi, D.; Rosati Papini, G. P.. - In: VEHICLE SYSTEM DYNAMICS. - ISSN 0042-3114. - ELETTRONICO. - currently in press:(2019), pp. 1-19. [10.1080/00423114.2019.1638947]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/249353
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