A novel approach for experimental identification of vehicle dynamic parameters
Author(s) -
Di Yao,
Philipp Ulbricht,
Stefan Tonutti,
Kay Büttner,
Günther Prokop
Publication year - 2020
Publication title -
proceedings of the institution of mechanical engineers part d journal of automobile engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 65
eISSN - 2041-2991
pISSN - 0954-4070
DOI - 10.1177/0954407020908724
Subject(s) - kinematics , vehicle dynamics , trajectory , identification (biology) , dynamic testing , dynamic simulation , computer science , inertia , software portability , sensitivity (control systems) , noise (video) , control theory (sociology) , simulation , control engineering , engineering , automotive engineering , artificial intelligence , physics , botany , control (management) , software engineering , classical mechanics , astronomy , electronic engineering , image (mathematics) , biology , programming language
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom