activity
20172023
most citedGlobal Convergence of Policy Gradient for Sequential Zero-Sum Linear Quadratic Dynamic Games

26 citations · 61 across the 18 of their papers we have counts for

collaborators
Showing eess.SYShow all

9 papers · 1 filter

eess.SY2022

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…

eess.SY20212 cited

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…

eess.SY20215 cited

On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma

Yue Yu, Shahriar Talebi, Henk J. van Waarde +3

Willems' fundamental lemma asserts that all trajectories of a linear time-invariant system can be obtained from a finite number of measured ones, assuming that controllability and…

eess.SY202011 cited

Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control

Jingjing Bu, Afshin Mesbahi, Mehran Mesbahi

We consider the continuous-time Linear-Quadratic-Regulator (LQR) problem in terms of optimizing a real-valued matrix function over the set of feedback gains. The results developed…

eess.SY20204 cited

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…

eess.SY2020

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…