Optimal selection of weighting functions by genetic algorithms to design H∞ Anti-roll bar controllers for heavy vehicles | Zendy

Vũ Văn Tấn | Zendy; Olivier Sename | Zendy; Luc Dugard | Zendy; Péter Gáspár | Zendy

Open 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 Gáspár

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

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