Publications (24)
Sufficient Condition on Bipartite Consensus of Weakly Connected Matrix-weighted Networks
Chongzhi Wang, Haibin Shao, Ying Tan +1
Recent advances in bipartite consensus on matrix-weighted networks, where agents are divided into two disjoint sets with those in the same set agreeing on a certain value and those…
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…
Quantum Hamiltonian Identification with Classical Colored Measurement Noise
Lingyu Tan, Daoyi Dong, Dewei Li +1
In this paper, we present a Hamiltonian identification method for a closed quantum system whose time trace observables are measured with colored measurement noise. The dynamics of…
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…
Consensus on Matrix-weighted Time-varying Networks
Lulu Pan, Haibin Shao, Mehran Mesbahi +2
This paper examines the consensus problem on time-varying matrix-weighed undirected networks. First, we introduce the matrix-weighted integral network for the analysis of such netw…
Event-triggered Consensus of Matrix-weighted Networks Subject to Actuator Saturation
Lulu Pan, Haibin Shao, Yuanlong Li +2
The ubiquitous interdependencies among higher-dimensional states of neighboring agents can be characterized by matrix-weighted networks. This paper examines event-triggered global…
Binary system modes of matrix-coupled multidimensional Kuramoto oscillators
Chongzhi Wang, Haibin Shao, Dewei Li
Synchronization and desynchronization are the two ends on the spectrum of emergent phenomena that somehow often coexist in biological, neuronal, and physical networks. However, pre…
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…
Distributed Neighbor Selection in Multi-agent Networks
Haibin Shao, Lulu Pan, Mehran Mesbahi +2
Achieving consensus via nearest neighbor rules is an important prerequisite for multi-agent networks to accomplish collective tasks. A common assumption in consensus setup is that…
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…
Vector-valued Privacy-Preserving Average Consensus
Lulu Pan, Haibin Shao, Yang Lu +3
Achieving average consensus without disclosing sensitive information can be a critical concern for multi-agent coordination. This paper examines privacy-preserving average consensu…
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…
A co-design method of online learning SMC law via an input-mappping strategy
Yaru Yu, Dewei Li, Dongya Zhao +1
The research on sliding mode control strategy is generally based on the robust approach. The larger parameter space consideration will inevitably sacrifice part of the performance.…
On the Controllability of Matrix-weighted Networks
Lulu Pan, Haibin Shao, Mehran Mesbahi +2
This letter examines the controllability of consensus dynamics on matrix-weighed networks from a graph-theoretic perspective. Unlike the scalar-weighted networks, the rank of weigh…
A gradient algorithm for Hamiltonian identification of open quantum systems
Shibei Xue, Rebing Wu, Dewei Li +1
In this paper, we present a gradient algorithm for identifying unknown parameters in an open quantum system from the measurements of time traces of local observables. The open syst…
Synthesis of model predictive control based on data-driven learning
Yuanqiang Zhou, Dewei Li, Yugeng Xi +1
For the application of MPC design in on-line regulation or tracking control problems, several studies have attempted to develop an accurate model, and realize adequate uncertainty…
Multi-view metric learning for multi-instance image classification
Dewei Li, Yingjie Tian
It is critical and meaningful to make image classification since it can help human in image retrieval and recognition, object detection, etc. In this paper, three-sides efforts are…
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving
Zihao Sheng, Yunwen Xu, Shibei Xue +1
Forecasting the trajectories of neighbor vehicles is a crucial step for decision making and motion planning of autonomous vehicles. This paper proposes a graph-based spatial-tempor…
Structural Adaptivity of Directed Networks
Lulu Pan, Haibin Shao, Mehran Mesbahi +2
Network structure plays a critical role in functionality and performance of network systems. This paper examines structural adaptivity of diffusively coupled, directed multi-agent…
A Cooperation-Aware Lane Change Method for Autonomous Vehicles
Zihao Sheng, Lin Liu, Shibei Xue +3
Lane change for autonomous vehicles (AVs) is an important but challenging task in complex dynamic traffic environments. Due to difficulties in guarantee safety as well as a high ef…
Dynamic Event-Triggered Consensus of Multi-agent Systems on Matrix-weighted Networks
Lulu Pan, Haibin Shao, Dewei Li +1
This paper examines the event-triggered consensus of the multi-agent system on matrix-weighted networks, where the interdependencies among higher-dimensional states of neighboring…
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…
Sufficient Conditions on Bipartite Consensus of Weakly Connected Matrix-weighted Networks
Chongzhi Wang, Haibin Shao, Ying Tan +1
Recent advancements in bipartite consensus, a scenario where agents are divided into two disjoint sets with agents in the same set agreeing on a certain value and those in differen…
Stochastic Assume-Guarantee Contracts for Cyber-Physical System Design Under Probabilistic Requirements
Jiwei Li, Pierluigi Nuzzo, Alberto Sangiovanni-Vincentelli +2
We develop an assume-guarantee contract framework for the design of cyber-physical systems, modeled as closed-loop control systems, under probabilistic requirements. We use a varia…