Chance-Constrained Optimization for Torque Tracking Control with Improving Fuel Economy in Spark-Ignition Engines-Reference-Cited by-同舟云学术

Chance-Constrained Optimization for Torque Tracking Control with Improving Fuel Economy in Spark-Ignition Engines

Published:2018-07-01 Issue:4 Volume:11 Page:365-371
ISSN:1882-4889
Container-title:SICE Journal of Control, Measurement, and System Integration
language:en
Short-container-title:SICE Journal of Control, Measurement, and System Integration

Author:

Shen Xun¹,Shen Tielong¹

Affiliation:

1. Department of Engineering and Applied Sciences, Sophia University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.9746/jcmsi.11.365

Reference17 articles.

1. [1] J.D. López, J.J. Espinosa, and J. Ramiro Agudelo: LQR control for speed and torque of internal combustion engines, IFAC Proceedings on World Congress, Vol. 44, No. 1, pp. 2230-2235, 2011.

2. [2] Y. Chamaillard, P. Higelin, and A. Charlet: A simple method for robust control design, application on a non-linear and delayed system: Engine torque control, Control Engineering Practice, Vol. 12, pp. 417-429, 2004.

3. [3] E. Corti and C. Forte: Spark advance real-time optimization based on combustion analysis, Journal of Engineering for Gas Turbines and Power, Vol. 113, 092804, 2011.

4. [4] N.J. Killingsworth, S.M. Aceves, D.L. Flowers, F.E. Loza, and M. Krstic: HCCI engine combustion-timing control: optimizing gains and fuel consumption via extremum seeking, IEEE Transactions on Control System Technology, Vol. 17, No. 6, pp. 1350-1361, 2009.

5. [5] M. Kang and T. Shen: Receding horizon online optimization for torque control of gasoline engines, ISA Transactions, Vol. 65, pp. 371-383, 2016.

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