Zobrazeno 1 - 10
of 333
pro vyhledávání: '"Koch, Charles A."'
Autor:
Picerno, Mario, Koch, Lucas, Badalian, Kevin, Wegener, Marius, Schaub, Joschka, Koch, Charles Robert, Andert, Jakob
The process of developing control functions for embedded systems is resource-, time-, and data-intensive, often resulting in sub-optimal cost and solutions approaches. Reinforcement Learning (RL) has great potential for autonomously training agents t
Externí odkaz:
http://arxiv.org/abs/2310.17671
Autor:
Gordon, David C., Winkler, Alexander, Bedei, Julian, Schaber, Patrick, Andert, Jakob, Koch, Charles R.
Model Predictive Control (MPC) provides an optimal control solution based on a cost function while allowing for the implementation of process constraints. As a model-based optimal control technique, the performance of MPC strongly depends on the mode
Externí odkaz:
http://arxiv.org/abs/2310.08392
Publikováno v:
In Journal of Process Control November 2024 143
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part B
Autor:
Salehi, Zeynab, Tofigh, Mohamadali, Kharazmi, Ali, Smith, Daniel J., Hanifi, Amir Reza, Koch, Charles Robert, Shahbakhti, Mahdi
Publikováno v:
In International Journal of Hydrogen Energy 20 January 2025 99:102-111
Publikováno v:
In Computers and Chemical Engineering January 2025 192
Autor:
Norouzi, Armin, Shahpouri, Saeid, Gordon, David, Winkler, Alexander, Nuss, Eugen, Abel, Dirk, Andert, Jakob, Shahbakhti, Mahdi, Koch, Charles Robert
The high thermal efficiency and reliability of the compression-ignition engine makes it the first choice for many applications. For this to continue, a reduction of the pollutant emissions is needed. One solution is the use of machine learning (ML) a
Externí odkaz:
http://arxiv.org/abs/2204.00142
Autor:
Norouzi, Armin, Shahpouri, Saeid, Gordon, David, Winkler, Alexander, Nuss, Eugen, Abel, Dirk, Andert, Jakob, Shahbakhti, Mahdi, Koch, Charles Robert
Machine learning (ML) and a nonlinear model predictive controller (NMPC) are used in this paper to minimize the emissions and fuel consumption of a compression ignition engine. In this work machine learning is applied in two methods. In the first app
Externí odkaz:
http://arxiv.org/abs/2204.00139
Publikováno v:
In Atmospheric Environment 15 August 2024 331
Publikováno v:
In Journal of Process Control June 2024 138