The fundamental lemma by Jan C. Willems and co-workers is deeply rooted in behavioral
systems theory and it has become one of the supporting pillars of the recent progress on …

Existing learning-based autonomous driving (AD) systems face challenges in
comprehending high-level information, generalizing to rare events, and providing …

Connected automated vehicles (CAVs) have shown great potential in improving traffic
throughput and stability. Although various longitudinal control strategies have been …

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic
flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data …

In this letter, we propose a simple yet effective singular value decomposition (SVD) based
strategy to reduce the optimization problem dimension in data-enabled predictive control …

Cooperative control of Connected and Autonomous Vehicles (CAVs) promises great
benefits for mixed traffic. Most existing research focuses on model-based control strategies …

Connected and automated vehicles (CAVs) have great potential to smooth mixed traffic flow.
To focus on the fact that the driving styles of HDVs are time-varying, a new control framework …

In this article, we present the first experimental results of data-driven predictive control for
connected and autonomous vehicles (CAVs) in dissipating traffic waves. In particular, we …

This paper investigates data-driven output-feedback predictive control of linear systems
subject to stochastic disturbances. The scheme relies on the recursive solution of a suitable …

Connected and automated vehicles (CAVs) have recently gained prominence in traffic
research due to advances in communication technology and autonomous driving. Various …