Adaptive driver model using a neural network

Autor:	D. G. Copp, Keith J. Burnham, D.J.G. James, F. Boehringer
Rok vydání:	2004
Předmět:	Artificial neural network Artificial Intelligence Computer science Control theory Time delay neural network Adaptive system Brake Control engineering Throttle General Biochemistry Genetics and Molecular Biology Simulation
Zdroj:	Artificial Life and Robotics. 7:170-176
ISSN:	1614-7456 1433-5298
DOI:	10.1007/bf02471201
Popis:	An adaptive driver model for longitudinal movements of a vehicle has been developed. It incorporates a conventional feedback brake controller, and both fixed and adaptive neural network controllers to produce the throttle demand. It has been interfaced with a vehicle model in a Simulink environment, and simulation studies indicate a high level of performance. Implementation of the adaptive driver model within a real-time environment has also been realized successfully.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9b8a3225d7c030dc9193543563a42afe https://doi.org/10.1007/bf02471201 Zobrazit plný text záznamu Full text from SpringerLink