Estimates on the Minimal Stabilizing Horizon Length in Model Predictive Control for the Fokker-Planck Equation**This work was supported by the DFG project Model Predictive Control for the Fokker-Planck Equation, GR 1569/15-1. The paper was written while the second author was visiting the University of Newcastle, Australia.

This publication has 13 references indexed in Scilit:

• Using nonlinear model predictive control for dynamic decision problems in economics
  Journal of Economic Dynamics and Control, 2015
• Economic receding horizon control without terminal constraints
  Automatica, 2013
• A Fokker–Planck control framework for multidimensional stochastic processes
  Journal of Computational and Applied Mathematics, 2013
• Distributed and boundary model predictive control for the heat equation
  GAMM-Mitteilungen, 2012
• OPTIMAL CONTROL OF PROBABILITY DENSITY FUNCTIONS OF STOCHASTIC PROCESSES
  Mathematical Modelling and Analysis, 2010
• Predictive control of parabolic PDEs with state and control constraints
  International Journal of Robust and Nonlinear Control, 2006
• Relaxing Dynamic Programming
  IEEE Transactions on Automatic Control, 2006
• Receding horizon optimal control for infinite dimensional systems
  ESAIM: Control, Optimisation and Calculus of Variations, 2002
• Existence and Uniqueness of Optimal Control for a Distributed-Parameter Bilinear System
  Journal of Dynamical and Control Systems, 2002
• The Variational Formulation of the Fokker--Planck Equation
  SIAM Journal on Mathematical Analysis, 1998