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Titel:

Execution Time Measurement of Narma-L2 Neural Controller Training on Embedded Devices for Mobile Machines

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Krüger, Marius; Vogel-Heuser, Birgit; Schwarz, Johannes; Kreutmayr, Fabian; Hujo, Dominik; Huber, Christoph; Imlauer, Markus; Lohmann, Boris
Abstract:
Many machines in the construction domain are driven by hydraulic actuators. The control of these hydraulic systems is highly challenging due to multiple nonlinearities. A promising approach for the optimal control of these hydraulic systems is adaptive control, in which the control parameters are adapted to the changing operating points. For adaptive control, the hydraulic system must be continuously identified. In this paper, an AI-based control approach (Narma-L2 Neural Controller) is presente...     »
Kongress- / Buchtitel:
22nd IFAC World Congress (IFAC)
Verlagsort:
Yokohama, Japan
Jahr:
2023
Monat:
July
Seiten:
9555--9558
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