Gao-Qi Liu

Koopman-Based Stochastic Model Predictive Control with Partial Probabilistic Information for Nonlinear Systems

The proposed Koopman-based stochastic model predictive control approach for unknown nonlinear systems by exploiting partial probabilistic information incorporates available support information into the controller design and is theoretically shown to be no more conservative than the corresponding RMPC in terms of constr...

Data-driven stochastic model predictive control for spacecraft attitude tracking