Nonlinear Predictive Control with a Gaussian Process Model

Author:

Kocijan Juš,Murray-Smith Roderick

Publisher

Springer Berlin Heidelberg

Reference24 articles.

1. Allgöwer, F., Badgwell, T.A., Qin, S.J., Rawlings, J.B., Wright, S.J.: Nonlinear predictive control and moving horizon estimation - an introductory overview. In: Frank, P.M. (ed.) Advances in control: highlights of ECC 1999, pp. 391–449. Springer, Heidelberg (1999)

2. Allgöwer, F., Zheng, A. (eds.): Nonlinear Model Predictive Control, Progress in system and control theory, vol. 26. Birkhäuser, Basel (2000)

3. Girard, A., Rasmussen, C.E., Quinonero Candela, J., Murray-Smith, R. (eds.): Gaussian Process Priors With Uncertain Inputs & Application to Multiple-Step Ahead Time Series Forecasting, NIPS 15, Vancouver, Canada. MIT Press, Cambridge (2003)

4. Girard, A., Murray-Smith, R.: Gaussian Process: Prediction at a noisy input and application to iterative multiple-step ahead forecasting of time-series. In: Murray-Smith, R., Shorten, R. (eds.) Switching and Learning in Feedback Systems. Springer, Heidelberg (2004)

5. Gregorčič, G., Lightbody, G.: Internal model control based on a Gaussian process prior model. In: Proceedings of ACC 2003, Denver, CO, pp. 4981–4986 (2003)

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