Speaker
Lars Gruene
Description
In this talk I will explain how the recently developed dissipativity-based qualitative analysis of stochastic optimal control problems helps in analysing stochastic model predictive control (MPC) schemes. I will on the one hand present stability and near-optimal performance results for problems with suitable stage costs. On the other hand, I will explain why the stochastic MPC closed loop may not be near-optimal when the stage cost is defined by certain risk measures but also when chance constraints are imposed.