46 citations · 79 across the 8 of their papers we have counts for
6 papers · 1 filter
Robust Scenario-Based Data-Enabled Predictive Control of a Battery Energy Storage System: An Experimental Study
Sebastian Zieglmeier, Nikolas Recke, Mathias Hudoba de Badyn
Battery energy storage systems must respect strict state-of-charge (SOC) limits to prevent overcharge and deep discharge, a task complicated by measurement noise and costly-to-mode…
Model-Free Control for Residential Heating: Deployment and Simulation of Nonlinear Data-Enabled Predictive Control
Sebastian Zieglmeier, Chris Verhoek, Jaap Eising +1
Residential heating accounts for a large share of building energy use, and predictive control strategies can reduce it by anticipating rather than reacting to the room temperature…
Scenario-based Data-Enabled Predictive Control: Robustification via the Scenario Approach
Sebastian Zieglmeier, Nikolas Recke, Mathias Hudoba de Badyn
This paper proposes Scenario-Based Data-Enabled Predictive Control (Scenario-DeePC), which integrates the scenario optimization framework into Data-enabled Predictive Control (DeeP…
Distributionally Robust Model Predictive Control for Virtual Power Plants
Nikolas Recke, Mathias Hudoba de Badyn
This paper presents a distributionally robust model predictive control (DRMPC) framework for the optimal Virtual Power Plant (VPP) operation under electricity price uncertainty. A…
Data-Enabled Predictive Control with Predictive Adaptive Line-of-Sight Guidance for 3-D Path Following of Autonomous Underwater Vehicles
Sebastian Zieglmeier, Mathias Hudoba de Badyn, Narada D. Warakagoda +2
This paper presents a fully data-driven 3-D path-following framework for autonomous underwater vehicles (AUVs), a representative class of underwater field robotics, based on Data-E…
Stability and Robustness of Distributed Suboptimal Model Predictive Control
Giuseppe Belgioioso, Dominic Liao-McPherson, Mathias Hudoba de Badyn +3
In distributed model predictive control (MPC), the control input at each sampling time is computed by solving a large-scale optimal control problem (OCP) over a finite horizon usin…