
DEEP NEURAL NETWORK BASED DATA-DRIVEN VIRTUAL SENSOR IN VEHICLE SEMI-ACTIVE SUSPENSION REAL-TIME CONTROL
Author(s) -
Paulius Kojis,
Eldar Šabanovič,
Viktor Skrickij
Publication year - 2022
Publication title -
transport
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 31
eISSN - 1648-4142
pISSN - 1648-3480
DOI - 10.3846/transport.2022.16919
Subject(s) - sprung mass , suspension (topology) , acceleration , artificial neural network , root mean square , simulation , mean squared error , controller (irrigation) , metric (unit) , control theory (sociology) , engineering , vehicle dynamics , computer science , automotive engineering , control (management) , artificial intelligence , mathematics , physics , homotopy , pure mathematics , electrical engineering , agronomy , statistics , operations management , classical mechanics , biology