@inproceedings{d4e3dbc4556949a3acab01c58b5209c4,
title = "Stochastic logical transient model-based RGF regulation of gasoline engines",
abstract = "In this paper, we consider the optimal control problem for the residual gas fraction in internal combustion engines. After discussing the stochastic characteristic of distribution of residual gas fraction under different variable valve timing (VVT) degrees, a multi-valued logical dynamical model is developed to capture the stochastic evolution of RGF from one cycle to the next under the effect of VVT. An algebraic form of dynamic programming algorithm is given to solve the optimal control problem for the residual gas fraction. Finally, to demonstrate the performances of the proposed control scheme, the experiment is expressed.",
keywords = "Engine Control, Optimal control problem, Residual gas fraction, Variable valve timing, logical dynamical system",
author = "Yuhu Wu and Madan Kumar and Tielong Shen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; null ; Conference date: 08-08-2015 Through 10-08-2015",
year = "2015",
month = sep,
day = "28",
doi = "10.1109/ICInfA.2015.7279566",
language = "英语",
series = "2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1727--1732",
booktitle = "2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics",
address = "United States",
}