Karl H. Johansson

Learning a network digital twin as a hybrid system

Christos Mavridis, Fernando S. Barbosa, Hamed Farhadi, Karl H. Johansson

On Optimal Event-Triggered Distributed Control for Stochastic Multi-Agent Systems via Reinforcement Learning

Ziming Wang, Bingbing Li, Karl H. Johansson, Apostolos I. Rikos

We propose a reinforcement learning (RL) based optimal distributed control algorithm for the multi-agent systems (MASs) with stochastic uncertainties. Unlike existing methods, during the optimized backstepping design process, we use the actor-critic-identifier structure. The acto…Read more

Distributed Traffic State Estimation in Connected Vehicle and Roadside Infrastructure Networks

Vincent de Heij, M. Umar B. Niazi, Saeed Ahmed, Karl H. Johansson

This paper proposes a distributed traffic state estimation framework that combines infrastructure sensors and connected vehicles as cooperative sensing nodes. Using Vehicle-to-Everything (V2X) communication, nearby nodes exchange local estimates and update them through a distribu…Read more