4 citations · 9 across the 7 of their papers we have counts for
8 papers
Independent dimensional phase transition on a two-dimensional Kuramoto model with matrix coupling
Chongzhi Wang, Haibin Shao, Dewei Li
The high-dimensional generalization of the one-dimensional Kuramoto paradigm has been an essential step in bringing about a more faithful depiction of the dynamics of real-world sy…
Cluster Consensus on Matrix-weighted Switching Networks
Lulu Pan, Haibin Shao, Mehran Mesbahi +2
This paper examines the cluster consensus problem of multi-agent systems on matrix-weighted switching networks. Necessary and/or sufficient conditions under which cluster consensus…
Data-driven approximation for feasible regions in nonlinear model predictive control
Yuanqiang Zhou, Dewei Li, Yugeng Xi +1
This paper develops a data-driven learning framework for approximating the feasible region and invariant set of a nonlinear system under the nonlinear Model Predictive Control (MPC…
Data-Driven Predictive Control for Continuous-Time Industrial Processes with Completely Unknown Dynamics
Yuanqiang Zhou, Dewei Li, Yugeng Xi
This paper investigates the data-driven predictive control problems for a class of continuous-time industrial processes with completely unknown dynamics. The proposed approach empl…
Optimal Synchronization Control for Heterogeneous Multi-Agent Systems: Online Adaptive Learning Solutions
Yuanqiang Zhou, Dewei Li, Furong Gao
This paper presents an online adaptive learning solution to optimal synchronization control problem of heterogeneous multi-agent systems via a novel distributed policy iteration ap…
Characterizing Bipartite Consensus on Signed Matrix-Weighted Networks via Balancing Set
Chongzhi Wang, Lulu Pan, Haibin Shao +2
In contrast with the scalar-weighted networks, where bipartite consensus can be achieved if and only if the underlying signed network is structurally balanced, the structural balan…