Gao-Qi Liu

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

This paper proposes a Koopman-based stochastic model predictive control (SMPC) approach for unknown nonlinear systems by exploiting partial probabilistic information. Unlike existing Koopman-based SMPC methods that primarily rely on the first- and second-order moments of stochastic Koopman modeling error, the proposed...

Data-driven stochastic model predictive control for spacecraft attitude tracking