An overview of systems-theoretic guarantees in data-driven model predictive control
The development of control methods based on data has seen a surge of interest in recent
years. When applying data-driven controllers in real-world applications, providing theoretical …
years. When applying data-driven controllers in real-world applications, providing theoretical …
Reinforcement learning for MPC: Fundamentals and current challenges
Recent publications have laid a solid theoretical foundation for the combination of
Reinforcement Learning and Model Predictive Control, in view of obtaining high …
Reinforcement Learning and Model Predictive Control, in view of obtaining high …
Data-Driven Predictive Control for Nonlinear Systems Using Feature Selection
This paper proposes a model-free predictive control method for nonlinear systems based on
a data-driven representation of the system behavior and a predictive control formulation …
a data-driven representation of the system behavior and a predictive control formulation …
On the equivalence of direct and indirect data-driven predictive control approaches
Recently, several direct Data-Driven Predictive Control (DDPC) methods have been
proposed, advocating the possibility of designing predictive controllers from historical input …
proposed, advocating the possibility of designing predictive controllers from historical input …
Data-driven domestic flexible demand: Observations from experiments in cold climate
In this chapter, we report on our experience with domestic flexible electric energy demand
based on a regular commercial (HVAC)-based heating system in a house. Our focus is on …
based on a regular commercial (HVAC)-based heating system in a house. Our focus is on …
On Min-Max Robust Data-Driven Predictive Control Considering Non-Unique Solutions to Behavioral Representation
Y Wang, Q Liu, C Shang - arxiv preprint arxiv:2501.17350, 2025 - arxiv.org
Direct data-driven control methods are known to be vulnerable to uncertainty in stochastic
systems. In this paper, we propose a new robust data-driven predictive control (DDPC) …
systems. In this paper, we propose a new robust data-driven predictive control (DDPC) …
Data-Driven Predictive Control and MPC: Do we achieve optimality?
In this paper, we explore the interplay between Predictive Control and closed-loop
optimality, spanning from Model Predictive Control to Data-Driven Predictive Control …
optimality, spanning from Model Predictive Control to Data-Driven Predictive Control …
Extending direct data-driven predictive control towards systems with finite control sets
Although classical model predictive control with finite control sets (FCS-MPC) is quite a
popular control method, particularly in the realm of power electronics systems, its direct data …
popular control method, particularly in the realm of power electronics systems, its direct data …