14 citations · 29 across the 13 of their papers we have counts for
13 papers
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…
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 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.…
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…
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…
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…
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…
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…
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…
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…
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…
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…