Gaussian Process Approximate Dynamic Programming for Energy-Optimal Supervisory Control of Parallel Hybrid Electric Vehicles
Author:
Affiliation:
1. Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA
2. Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea
Funder
National Research Foundation of Korea
Ministry of Educatio
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/9857756/09782526.pdf?arnumber=9782526
Reference52 articles.
1. Approximate Dynamic Programming
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4. Dynamic energy management for hybrid electric vehicle based on approximate dynamic programming;li;Proc 7th World Congr Intell Control Autom,0
5. A review on hybrid electric vehicles architecture and energy management strategies
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