Learning of Energy Primitives for Electrified Aircraft-Reference-Cited by-同舟云学术

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Learning of Energy Primitives for Electrified Aircraft

Published:2024-07-10 Issue: Volume: Page:2494-2500
ISSN:
Container-title:2024 American Control Conference (ACC)
language:
Short-container-title:

Author:

Smith Reid D.¹,Hencey Brandon M.²,Parry Adam C.²,Alleyne Andrew G.³

Affiliation:

1. University of Illinois at Urbana-Champaign,Mechanical Science and Engineering Department,Urbana,IL,61801

2. Air Force Research Laboratory (RQQI), Wright-Patterson AFB,OH,45433

3. University of Minnesota,Mechanical Engineering Department,Minneapolis,MN,55455

Funder

Air Force Research Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644416.pdf?arnumber=10644416

Reference26 articles.

1. Electric Power Systems in More and All Electric Aircraft: A Review

2. Aircraft Hybrid-Electric Propulsion: Development Trends, Challenges and Opportunities

3. Designing airspace for urban air mobility: A review of concepts and approaches

4. Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

5. Safe Data-Driven Model Predictive Control of Systems With Complex Dynamics

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