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20222026
most citedAdaptive Stochastic MPC under Unknown Noise Distribution

1 citations · 1 across the 8 of their papers we have counts for

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eess.SY2026

Layered Control of Partially Observed Stochastic Systems

Charis Stamouli, Anastasios Tsiamis, George J. Pappas

Layered control is essential for managing complexity in large-scale systems, employing progressively coarser models at higher layers. While significant advances have been made for…

eess.SY2025

Policy Gradient Bounds in Multitask LQR

Charis Stamouli, Leonardo F. Toso, Anastasios Tsiamis +2

We analyze the performance of policy gradient in multitask linear quadratic regulation (LQR), where the system and cost parameters differ across tasks. The main goal of multitask L…

eess.SY2025

Layered Multirate Control of Constrained Linear Systems

Charis Stamouli, Anastasios Tsiamis, Manfred Morari +1

Layered control architectures have been a standard paradigm for efficiently managing complex constrained systems. A typical architecture consists of: i) a higher layer, where a low…

eess.SY2024

Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees

Charis Stamouli, Lars Lindemann, George J. Pappas

In this paper, we focus on the problem of shrinking-horizon Model Predictive Control (MPC) in uncertain dynamic environments. We consider controlling a deterministic autonomous sys…

eess.SY2023

Structural Risk Minimization for Learning Nonlinear Dynamics

Charis Stamouli, Evangelos Chatzipantazis, George J. Pappas

Recent advances in learning or identification of nonlinear dynamics focus on learning a suitable model within a pre-specified model class. However, a key difficulty that remains is…

eess.SY2022★ 1 cited

Adaptive Stochastic MPC under Unknown Noise Distribution

Charis Stamouli, Anastasios Tsiamis, Manfred Morari +1

In this paper, we address the stochastic MPC (SMPC) problem for linear systems, subject to chance state constraints and hard input constraints, under unknown noise distribution. Fi…