Modelling and Control of a Heavy-Duty Diesel Engine Gas Path with Gaussian Process Regression
暂无分享,去创建一个
[1] Luigi del Re,et al. Predictive control of a real-world Diesel engine using an extended online active set strategy , 2007, Annu. Rev. Control..
[2] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[3] Keith Glover,et al. Control-oriented linear parameter-varying modelling of a turbocharged diesel engine , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..
[4] P. Young,et al. Refined instrumental variable methods of recursive time-series analysis Part III. Extensions , 1980 .
[5] Michael Buchholz,et al. Gaussian Process Regression for Nonlinear Time-Varying System Identification , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[6] Rolf Isermann,et al. Fast neural networks for diesel engine control design , 1999 .
[7] L. del Re,et al. Gain Scheduled $H_{\infty}$ Control for Air Path Systems of Diesel Engines Using LPV Techniques , 2007, IEEE Transactions on Control Systems Technology.
[8] Michael Buchholz,et al. A real-time nonlinear MPC scheme with emission constraints for heavy-duty diesel engines , 2017, 2017 American Control Conference (ACC).
[9] D. Luenberger. An introduction to observers , 1971 .
[10] Lino Guzzella,et al. Introduction to Modeling and Control of Internal Combustion Engine Systems , 2004 .
[11] S. Sastry. Nonlinear Systems: Analysis, Stability, and Control , 1999 .
[12] N. Wiener,et al. Nonlinear Problems in Random Theory , 1964 .
[13] M. Jankovic,et al. Robust nonlinear controller for turbocharged diesel engines , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).
[14] Luigi del Re,et al. Predictive Control of a Diesel Engine Air Path , 2007, IEEE Transactions on Control Systems Technology.