z-logo
open-access-imgOpen Access
Optimal selection of weighting functions by genetic algorithms to design H∞ Anti-roll bar controllers for heavy vehicles
Author(s) -
Vũ Văn Tấn,
Olivier Sename,
Luc Dugard,
Péter Gáspar
Publication year - 2016
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - weighting , rollover (web design) , bar (unit) , control theory (sociology) , stability (learning theory) , genetic algorithm , controller (irrigation) , pareto principle , selection (genetic algorithm) , multi objective optimization , benchmark (surveying) , engineering , mathematical optimization , computer science , control engineering , control (management) , mathematics , artificial intelligence , machine learning , meteorology , medicine , geodesy , biology , world wide web , agronomy , radiology , geography , physics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here