Vehicular Applications of Koopman Operator Theory—A Survey
Author:
Affiliation:
1. Department of Systems Engineering and Validation, Ford Motor Company, Dearborn, MI, USA
2. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA
Funder
Michigan Space Grant Consortium, the National Aeronautics and Space Administration
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10068492.pdf?arnumber=10068492
Reference120 articles.
1. Autonomous Driving using Linear Model Predictive Control with a Koopman Operator based Bilinear Vehicle Model
2. A data-driven model-based shared control strategy considering drivers’ adaptive behavior in driver-automation interaction
3. Robust Model Predictive Control with Data-Driven Koopman Operators
4. Pontryagin differentiable programming: An end-to-end learning and control framework;jin;Proc Adv Neural Inf Process Syst,2020
5. Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics
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