Model Predictive Control of Diesel Engine Emissions Based on Neural Network Modeling

M. Hafner, M. Schüler, O. Nelles, and R. Isermann, “Fast neural networks for diesel engine control design,” Control Engineering Practice , vol. 8, no. 11, pp. 1211–1221, 2000

2000

Earlier work this paper cites.

L. Wang, “A tutorial on model predictive control: Using a linear velocity-form model,” Developments in Chemical Engineering and Mineral Processing , vol. 12, no. 5-6, pp. 573–614, 2004

2004

Earlier work this paper cites.

B. Ashok, S. D. Ashok, and C. R. Kumar, “A review on control system architecture of a si engine management system,” Annual Reviews in Control , vol. 41, pp. 94–118, 2016

2016

Earlier work this paper cites.

K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778

2016

Earlier work this paper cites.

M. Huang, K. Zaseck, K. Butts, and I. Kolmanovsky, “Rate-based model predictive controller for diesel engine air path: Design and experimental evaluation,” IEEE Transactions on Control Systems Technology , vol. 24, no. 6, pp. 1922–1935, 2016

2016

Earlier work this paper cites.

M. Huang, “Low complexity model predictive control of a diesel engine airpath.” Ph.D. dissertation, 2016

2016

Earlier work this paper cites.

M. Risbeck and J. Rawlings, “MPCTools: Nonlinear Model Predictive Control Tools for CasADi,” 2016, [online] Available: https://bitbucket.org/rawlings-group/octave-mpctools

2016

Cited alongside, same era.

T. N. Kipf and M. Welling, “Semi-supervised classification with graph convolutional networks,” in International Conference on Learning Representations (ICLR) , 2017

2017

Cited alongside, same era.

A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” Advances in neural information processing systems , vol. 30, 2017

2017

Cited alongside, same era.

G. W. Malaczynski and G. Roth, “Real-time sensing of particulate matter in a vehicle exhaust system,” SAE International Journal of Passenger Cars-Electronic and Electrical Systems , vol. 10, no. 2017-01-1639, pp. 216–230, 2017

2017

Cited alongside, same era.

D. Liao-McPherson, M. Huang, S. Kim, M. Shimada, K. Butts, and I. Kolmanovsky, “Model predictive emissions control of a diesel engine airpath: Design and experimental evaluation,” International Journal of Robust and Nonlinear Control , vol. 30, no. 17, pp. 7446–7477, 2020

2020

Later among the works it cites.

A. Norouzi, H. Heidarifar, M. Shahbakhti, C. R. Koch, and H. Borhan, “Model predictive control of internal combustion engines: A review and future directions,” Energies , vol. 14, no. 19, p. 6251, 2021

2021

Later among the works it cites.

J. Zhang, M. R. Amini, I. Kolmanovsky, M. Tsutsumi, and H. Nakada, “Benefits of feedforward for model predictive airpath control of diesel engines,” in 10th IFAC Symposium on Robust Control Design , 2022, pp. 181–186

2022

Later among the works it cites.

D. C. Gordon, A. Norouzi, A. Winkler, J. McNally, E. Nuss, D. Abel, M. Shahbakhti, J. Andert, and C. R. Koch, “End-to-end deep neural network based nonlinear model predictive control: experimental implementation on diesel engine emission control,” Energies , vol. 15, no. 24, p. 9335, 2022