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Evolving look ahead controllers for energy optimal driving and path planning

  • An evolved neural network controller is presented to solve the optimal control problem for energy optimal driving. A controller is produced which computes equivalent control commands to traditional graph searching approaches, while able to adapt to varied constraints and conditions. Furthermore, after training, trivial amounts of computation time and memory are required, making the approach applicable for embedded systems and path planning applications.

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Metadaten
Document Type:Conference Object
Language:English
Parent Title (English):IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2014) Proceedings. 23-25 June 2014, Alberobello, Italy
First Page:138
Last Page:145
ISBN:978-1-4799-3020-3
DOI:https://doi.org/10.1109/INISTA.2014.6873610
Publisher:IEEE
Date of first publication:2014/08/11
Tag:embedded systems; energy optimal driving; evolved neural network controller; evolving look ahead controllers; optimal control problem; path planning
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/04/02