activity
20232026
most citedNear-optimal performance of stochastic economic MPC

2 citations · 4 across the 6 of their papers we have counts for

collaborators

8 papers

math.OC2026

Closed-loop analysis of linear stochastic MPC with risk-averse constraints

Jonas Schießl, Ruchuan Ou, Michael H. Baumann +2

Chance constraints are widely used in stochastic model predictive control (MPC) to enforce probabilistic state and input constraints in the presence of unbounded disturbances. Howe…

eess.SY2025

PolyOCP.jl -- A Julia Package for Stochastic OCPs and MPC

Ruchuan Ou, Learta Januzi, Jonas Schießl +3

The consideration of stochastic uncertainty in optimal and predictive control is a well-explored topic. Recently Polynomial Chaos Expansions (PCE) have received considerable attent…

math.OC2025

Stability and performance of stochastic economic MPC -- Stochastic characterization of the closed-loop asymptotics

Jonas Schießl, Hannah Selder, Ruchuan Ou +3

Model Predictive Control (MPC) is well understood in the deterministic setting, yet rigorous stability and performance guarantees for stochastic MPC remain limited to the considera…

math.OC2025

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…

math.OC2024★ 2 cited

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…

math.OC2023

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…

math.OC2023★ 1 cited

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…

math.OC2023★ 1 cited

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…