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Author

K. H. Johansson

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Open access Oct 2026

Reinforcement Learning Enabed Vehicular Optimal Platoon Control under Uncertainties and Cyberattacks

This paper proposes a reinforcement learning (RL) based optimal platoon control framework for autonomous vehicles (AVs) subject to uncertainties and cyberattacks. Within the optimized backstepping design, an actor-critic-identifier architecture is employed to improve platoon control performance. A cyberattack compe...

Zi-Ming Wang, K. H. Johansson, Apostolos I. Rikos · 0 citations
Jul 2026

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

This work proposes a reinforcement learning (RL) based optimal distributed control algorithm for the multi-agent systems (MASs) with stochastic uncertainties that uses the actor-critic-identifier structure and provides a Lyapunov-based stability proof that guarantees all errors are bounded, ensuring precise tracking be...

Ziming Wang, Bingbing Li, Karl H. Johansson et al. · 0 citations

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