activity
20192023
most citedDynamic quantized consensus under DoS attacks: Towards a tight zooming-out factor

12 citations · 24 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SY2023

Quantized distributed Nash equilibrium seeking under DoS attacks

Shuai Feng, Maojiao Ye, Lihua Xie +1

This paper studies distributed Nash equilibrium (NE) seeking under Denial-of-Service (DoS) attacks and quantization. The players can only exchange information with their own direct…

eess.SY2023★ 12 cited

Dynamic quantized consensus under DoS attacks: Towards a tight zooming-out factor

Shuai Feng, Maopeng Ran, Hideaki Ishii +1

This paper deals with dynamic quantized consensus of dynamical agents in a general form under packet losses induced by Denial-of-Service (DoS) attacks. The communication channel ha…

stat.ML2022★ 7 cited

Controlling mean exit time of stochastic dynamical systems based on quasipotential and machine learning

Yang Li, Shenglan Yuan, Shengyuan Xu

The mean exit time escaping basin of attraction in the presence of white noise is of practical importance in various scientific fields. In this work, we propose a strategy to contr…

math.OC2022★ 1 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…

math.PR2021

On the Gaussian surface area of spectrahedra

Srinivasan Arunachalam, Oded Regev, Penghui Yao

We show that for sufficiently large and for some universal constant , a random spectrahedron with matrices drawn from Gaussian orthogonal ensemble has…

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.OC2021★ 1 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★ 3 cited

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…