Complexity Reduction of Model Predictive Control

Pascal Grieder (ETH Zurich)

Abstract

Optimal control of dynamical systems with constraints on the states and inputs has garnered a lot of attention in research. This talk will focus on the possibilities and limits of Model Predictive Control (MPC) and Receding Horizon Control (RHC). Specifically, the following issues will be addressed:

1. Brief overview of optimal control

2. What is Receding Horizon Control (explicit MPC)? What is it good for?

3. A closer look at the computational complexity of RHC

4. Reducing complexity of RHC

5. Future Research

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