17 citations · 41 across the 20 of their papers we have counts for
42 papers
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving
Lin-Chi Wu, Zengjie Zhang, Sofie Haesaert +2
Reinforcement learning (RL) is an effective approach to motion planning in autonomous driving, where an optimal driving policy can be automatically learned using the interaction da…
Decentralised adaptive-gain control for eliminating epidemic spreading on networks
Liam Walsh, Mengbin Ye, Brian D. O. Anderson +1
This paper considers the classical Susceptible--Infected--Susceptible (SIS) network epidemic model, which describes a disease spreading through nodes, with the network links go…
A port-Hamiltonian framework for displacement-based and rigid formation tracking
Ningbo Li, Zhiyong Sun, Arjan van der Schaft +1
This paper proposes a passivity-based port-Hamiltonian (pH) framework for multi-agent displacement-based and rigid formation control and velocity tracking. The control law consists…
Moving Obstacle Collision Avoidance via Chance-Constrained MPC with CBF
Ming Li, Zhiyong Sun, Zirui Liao +1
Model predictive control (MPC) with control barrier functions (CBF) is a promising solution to address the moving obstacle collision avoidance (MOCA) problem. Unlike MPC with dista…
Automated Formation Control Synthesis from Temporal Logic Specifications
Shuhao Qi, Zengjie Zhang, Sofie Haesaert +1
In many practical scenarios, multi-robot systems are envisioned to support humans in executing complicated tasks within structured environments, such as search-and-rescue tasks. We…
A time-varying matrix solution to the Brockett decentralized stabilization problem
Zhiyong Sun
This paper proposes a time-varying matrix solution to the Brockett stabilization problem. The key matrix condition shows that if the system matrix product is a Hurwitz H-matri…