Active Preference Learning for Vehicle Suspensions Calibration
Author:
Affiliation:
1. Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
Funder
Italian Ministry of University and Research through PRIN’17 Project “Data-Driven Learning of Constrained Control Systems”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/87/10292780/10145958.pdf?arnumber=10145958
Reference21 articles.
1. Data-driven control: A behavioral approach
2. Modeling and Simulation of Motorcycle Ride Comfort Based on Bump Road
3. Global optimization based on active preference learning with radial basis functions;bemporad;Mach Learn,2020
4. Study on the Influence of Suspension Parameters on Longitudinal Impact Comfort
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