Explicit stochastic predictive control of combustion plants based on Gaussian process models

[1]  Carl E. Rasmussen,et al.  Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.

[2]  A. Grancharova,et al.  Explicit stochastic Nonlinear Predictive Control based on Gaussian process models , 2007, 2007 European Control Conference (ECC).

[3]  Bojan Likar,et al.  Predictive control of a gas-liquid separation plant based on a Gaussian process model , 2007, Comput. Chem. Eng..

[4]  Eduardo F. Camacho,et al.  Constrained Model Predictive Control , 2007 .

[5]  Basil Kouvaritakis,et al.  MPC for Stochastic Systems , 2007 .

[6]  A. Grancharova,et al.  Computational Aspects of Approximate Explicit Nonlinear Model Predictive Control , 2007 .

[7]  Basil Kouvaritakis,et al.  Stochastic MPC with inequality stability constraints , 2006, Autom..

[8]  Yasushi Hada,et al.  Constrained Model Predictive Control , 2006 .

[9]  B. Kouvaritakis,et al.  LTV models in MPC for sustainable development , 2006 .

[10]  Basil Kouvaritakis,et al.  MPC as a tool for sustainable development integrated policy assessment , 2003, IEEE Transactions on Automatic Control.

[11]  Agathe Girard,et al.  Dynamic systems identification with Gaussian processes , 2005 .

[12]  Hai-Bin Wang,et al.  Model reference neural network control for boiler combustion system , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[13]  Jun Yan,et al.  Incorporating state estimation into model predictive control and its application to network traffic control , 2005, Autom..

[14]  Tor Arne Johansen,et al.  Approximate explicit receding horizon control of constrained nonlinear systems , 2004, Autom..

[15]  Roderick Murray-Smith,et al.  Nonlinear Predictive Control with a Gaussian Process Model , 2003, European Summer School on Multi-AgentControl.

[16]  Agathe Girard,et al.  Gaussian Processes: Prediction at a Noisy Input and Application to Iterative Multiple-Step Ahead Forecasting of Time-Series , 2003, European Summer School on Multi-AgentControl.

[17]  Agathe Girard,et al.  Adaptive, Cautious, Predictive control with Gaussian Process Priors , 2003 .

[18]  Alberto Bemporad,et al.  The explicit linear quadratic regulator for constrained systems , 2003, Autom..

[19]  Carl E. Rasmussen,et al.  Derivative Observations in Gaussian Process Models of Dynamic Systems , 2002, NIPS.

[20]  C. Scherer,et al.  LMI-based closed-loop economic optimization of stochastic process operation under state and input constraints , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[21]  Basil Kouvaritakis,et al.  Nonlinear predictive control : theory and practice , 2001 .

[22]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[23]  Frank Allgöwer,et al.  Nonlinear Model Predictive Control , 2007 .

[24]  Christopher K. I. Williams.  Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond , 1999, Learning in Graphical Models.

[25]  B. L. Cooley,et al.  Optimal feedback control strategies for state-space systems with stochastic parameters , 1998, IEEE Trans. Autom. Control..

[26]  Juš Kocijan,et al.  An approach to multivariable combustion control design , 1997 .

[27]  S. Strmčnik,et al.  Design and application of an industrial controller , 1992 .

[28]  Borut Zupancic,et al.  A model for combustion of fuel in the boiler , 1985, Simulationstechnik.

[29]  M. Slevin.  Boiler oxygen trim control , 1984 .

[30]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[31]  Advances in Modelling and Analysis C , 2022 .