Litcius/Paper detail

Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks

Angelo D. Bonzanini, Joel A. Paulson, Georgios Makrygiorgos, Ali Mesbah

2020Computers & Chemical Engineering60 citationsDOI

Topics & Concepts

Model predictive controlComputer scienceOnline modelArtificial neural networkControl theory (sociology)Memory footprintNonlinear systemOptimal controlController (irrigation)Artificial intelligenceMachine learningMathematical optimizationControl (management)MathematicsQuantum mechanicsStatisticsPhysicsOperating systemBiologyAgronomyAdvanced Control Systems OptimizationFault Detection and Control SystemsControl Systems and Identification
Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks | Litcius