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 …
[HTML][HTML] Efficient data-driven predictive control of nonlinear systems: A review and perspectives
Abstract Model predictive control (MPC) has become a key tool for optimizing real-time
operations in industrial systems and processes, particularly to enhance performance, safety …
operations in industrial systems and processes, particularly to enhance performance, safety …
Deep DeePC: Data‐enabled predictive control with low or no online optimization using deep learning
Data‐enabled predictive control (DeePC) is a data‐driven control algorithm that utilizes data
matrices to form a non‐parametric representation of the underlying system, predicting future …
matrices to form a non‐parametric representation of the underlying system, predicting future …