Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation-Reference-Cited by-同舟云学术

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Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation

Published:2024-07-10 Issue: Volume:2 Page:5232-5237
ISSN:
Container-title:2024 American Control Conference (ACC)
language:
Short-container-title:

Author:

Gordon David C.¹,Winkler Alexander²,Bedei Julian²,Schaber Patrick²,Pischinger Stefan³,Andert Jakob²,Koch Charles R.¹

Affiliation:

1. University of Alberta,Edmonton,AB,Canada,T6G 2R3

2. RWTH Aachen University,Teaching and Research Area Mechatronics in Mobile Propulsion,Aachen,Germany,52074

3. RWTH Aachen University,Chair of Thermodynamics of Mobile Energy Conversion Systems,Aachen,Germany,52074

Funder

German Research Association

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644830.pdf?arnumber=10644830

Reference30 articles.

1. LQR control for speed and torque of internal combustion engines*

2. Adaptive sliding mode control of a four-wheel-steering autonomous vehicle with uncertainty using parallel orientation and position control

3. Robust Adaptive Control

4. Data-driven Modeling and Predictive Control of Maximum Pressure Rise Rate in RCCI Engines

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