30 citations · 76 across the 23 of their papers we have counts for
28 papers
Towards turnpike-based performance analysis of risk-averse stochastic predictive control
Jonas Schießl, Ruchuan Ou, Michael H. Baumann +2
In this paper, we present performance estimates for stochastic economic MPC schemes with risk-averse cost formulations. For MPC algorithms with costs given by expectations, it was…
Near-optimal performance of stochastic economic MPC
Jonas Schießl, Ruchuan Ou, Timm Faulwasser +2
This paper presents first results for near optimality in expectation of the closed-loop solutions for stochastic economic MPC. The approach relies on a recently developed turnpike…
A Polynomial Chaos Approach to Stochastic LQ Optimal Control: Error Bounds and Infinite-Horizon Results
Ruchuan Ou, Jonas Schießl, Michael Heinrich Baumann +2
The stochastic linear--quadratic regulator problem subject to Gaussian disturbances is well known and usually addressed via a moment-based reformulation. Here, we leverage polynomi…
On the relationship between stochastic turnpike and dissipativity notions
Jonas Schießl, Michael H. Baumann, Timm Faulwasser +1
In this paper, we introduce and study different dissipativity notions and different turnpike properties for discrete-time stochastic nonlinear optimal control problems. The propose…
Turnpike and dissipativity in generalized discrete-time stochastic linear-quadratic optimal control
Jonas Schießl, Ruchuan Ou, Timm Faulwasser +2
We investigate different turnpike phenomena of generalized discrete-time stochastic linear-quadratic optimal control problems. Our analysis is based on a novel strict dissipativity…
Data-driven MPC with stability guarantees using extended dynamic mode decomposition
Lea Bold, Lars Grüne, Manuel Schaller +1
For nonlinear (control) systems, extended dynamic mode decomposition (EDMD) is a popular method to obtain data-driven surrogate models. Its theoretical foundation is the Koopman fr…