1 citations · 1 across the 8 of their papers we have counts for
10 papers
Co-designing a Layered Control Architecture
Chris Verhoek, Charis Stamouli, George J. Pappas +1
Layered control architectures (LCAs) are ubiquitous in complex engineering systems. However, in practice they are largely designed ad hoc and mostly dictated by the experience of t…
Multitask LQG Control: Performance and Generalization Bounds
Leonardo F. Toso, Kasra Fallah, Charis Stamouli +2
We study multitask learning for stochastic and partially observed control systems, focusing on the linear quadratic Gaussian (LQG) problem. Our goal is to learn a common stabilizin…
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…
Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
Vasiliki Tassopoulou, Charis Stamouli, Haochang Shou +2
Despite recent progress in predicting biomarker trajectories from real clinical data, uncertainty in the predictions poses high-stakes risks (e.g., misdiagnosis) that limit their c…
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…
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…
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…
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
Charis Stamouli, Ingvar Ziemann, George J. Pappas
We study the quadratic prediction error method -- i.e., nonlinear least squares -- for a class of time-varying parametric predictor models satisfying a certain identifiability cond…
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…
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…