activity
20192022
most citedFully Distributed Nash Equilibrium Seeking for High-order Players with Bounded Controls and Directed Graphs

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC20221 cited

Predefined-time Stabilization for Nonlinear Stochastic Systems

Tianliang Zhang, Shengyuan Xu

In this paper, a control scheme for stochastic predefined-time stabilization is proposed, which improves the control effect compared with stochastic finite-time or fixed-time stabi…

stat.ML2021

Extracting stochastic dynamical systems with -stable Lévy noise from data

Yang Li, Yubin Lu, Shengyuan Xu +1

With the rapid increase of valuable observational, experimental and simulated data for complex systems, much efforts have been devoted to identifying governing laws underlying the…

math.OC20211 cited

Fully Distributed Nash Equilibrium Seeking for High-order Players with Bounded Controls and Directed Graphs

Maojiao Ye, Lei Ding, Shengyuan Xu

This paper explores distributed Nash equilibrium seeking problems for games in which the players have limited knowledge on other players' actions. In particular, the involved playe…

math.OC2020

Distributed Nash Equilibrium Seeking for Games in Systems with Unknown Control Directions

Maojiao Ye, Shengyuan Xu, Jizhao Yin

Distributed Nash equilibrium seeking for games in uncertain networked systems without a prior knowledge about control directions is explored in this paper. More specifically, the d…

math.OC2020

Distributed Mirror Descent for Online Composite Optimization

Deming Yuan, Yiguang Hong, Daniel W. C. Ho +1

In this paper, we consider an online distributed composite optimization problem over a time-varying multi-agent network that consists of multiple interacting nodes, where the objec…

math.OC2019

Differentially private Nash equilibrium seeking for networked aggregative games

Maojiao Ye, Guoqiang Hu, Lihua Xie +1

This paper considers the privacy-preserving Nash equilibrium seeking strategy design for a class of networked aggregative games, in which the players' objective functions are consi…