activity
20172021
most citedData-Based Optimal Control of Multi-Agent Systems: A Reinforcement Learning Design Approach

126 citations · 210 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2021

Coupling effect and pole assignment in trajectory regulation of multi-agent systems

Jilie Zhang, Zhiyong Chen, Hongwei Zhang +1

This paper revisits a well studied leader-following consensus problem of linear multi-agent systems, while aiming at follower nodes' transient performance. Conventionally, when not…

eess.SY2021

Learning nonlinear dynamics in synchronization of knowledge-based leader-following networks

Shimin Wang, Xiangyu Meng, Hongwei Zhang +1

Knowledge-based leader-following synchronization of heterogeneous nonlinear multi-agent systems is a challenging problem since the leader's dynamic information is unknown to any fo…

math.OC2021★ 79 cited

Leaderless Consensus of Heterogeneous Multiple Euler-Lagrange Systems with Unknown Disturbance

Shimin Wang, Hongwei Zhang, Simone Baldi +1

This paper studies the leaderless consensus problem of {heterogeneous} multiple networked Euler-Lagrange systems subject to persistent disturbances with unknown constant biases, am…

eess.SY2020★ 5 cited

Adaptive Cooperative Tracking and Parameter Estimation of an Uncertain Leader over General Directed Graphs

Shimin Wang, Hongwei Zhang, Zhiyong Chen

This paper studies cooperative tracking problem of heterogeneous Euler-Lagrange systems with an uncertain leader. Different from most existing works, system dynamic knowledge of th…

math.OC2017★ 126 cited

Data-Based Optimal Control of Multi-Agent Systems: A Reinforcement Learning Design Approach

Jilie Zhang, Zhanshan Wang, Hongwei Zhang

This paper studies optimal consensus tracking problem of heterogeneous linear multi-agent systems. By introducing tracking error dynamics, the optimal tracking problem is reformula…