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Xuerong Mao

dblp:13/355 · DBLP profile ↗
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9ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-6768-9864ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 8Databases, data management, data science and information retrieval · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Mathematical optimization · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
stochastic systems
0.412019
Boundedness and stability of highly nonlinear hybrid neutral stochastic systems with multiple delays · Sci. China Inf. Sci. 2019
Mathematical optimization › dynamical systems
stability analysis
0.112019
Boundedness and stability of highly nonlinear hybrid neutral stochastic systems with multiple delays · Sci. China Inf. Sci. 2019
Mathematical optimization
control theory
0.112018
Almost sure stabilization of hybrid systems by feedback control based on discrete-time observations of mode and state · Sci. China Inf. Sci. 2018

Methods — techniques the papers use, named apart from their topics

stochastic stability · 0.4lyapunov analysis · 0.4stochastic feedback control · 0.3markov chain · 0.3brownian motion · 0.3
YearPublicationVenuePosition
2022 Discrete feedback control for highly nonlinear neutral stochastic delay differential equations with Markovian switching
Chunhui Mei, Mingxuan Shen, Weiyin Fei, Xuerong Mao
Inf. Sci.5
2019 Basic theory and stability analysis for neutral stochastic functional differential equations with pure jumps
Mengling Li, Feiqi Deng, Xuerong Mao
Sci. China Inf. Sci.3
2019 Boundedness and stability of highly nonlinear hybrid neutral stochastic systems with multiple delays
Mingxuan Shen, Weiyin Fei, Xuerong Mao
Sci. China Inf. Sci.4
2018 Special focus on modeling, analysis and control of stochastic systems
Feiqi Deng, Xuerong Mao
Sci. China Inf. Sci.2
2018 Exponential stability of the Euler-Maruyama method for neutral stochastic functional differential equations with jumps
Haoyi Mo, Mengling Li, Feiqi Deng, Xuerong Mao
Sci. China Inf. Sci.4
2018 Almost sure stabilization of hybrid systems by feedback control based on discrete-time observations of mode and state
abstract
Although the mean square stabilization of hybrid systems by feedback control based on discretetime observations of state and mode has been studied by several authors since 2013, the corresponding almost sure stabilization problem has received little attention. Recently, Mao was the first to study the almost sure stabilization of a given unstable system ẋ ( t ) = f ( x ( t )) by a linear discrete-time stochastic feedback control Ax ([ t / τ ] τ )d B /( t ) (namely the stochastically controlled system has the form d x ( t ) = f ( x ( t ))d t + A x ([ t / τ ] τ )d B /( t ), where B ( t ) is a scalar Brownian, τ > 0, and [ t / τ ] is the integer part of t / τ . In this paper, we consider a much more general problem. That is, we study the almost sure stabilization of a given unstable hybrid system ẋ ( t ) = f ( x ( t ), r ( t )) by nonlinear discrete-time stochastic feedback control u ( x ([ t / τ ] τ )d B ( t ) (so the stochastically controlled system is a hybrid stochastic system of the form d x ( t ) = f ( x ( t ), r ( t ))d t + u ( x ([ t / τ ] τ ))d B ( t ), where B ( t ) is a multi-dimensional Brownian motion and r ( t ) is a Markov chain.
Gongfei Song, Bo-Chao Zheng, Xuerong Mao
Sci. China Inf. Sci.4
2008 Theory and application of stability for stochastic reaction diffusion systems
Feiqi Deng, Xuerong Mao, Jundong Bao, Yu-Tian Zhang
Sci. China Ser. F Inf. Sci.3
2005 Stochastic Lotka-Volterra Competitive Systems with Variable Delay
Yi Shen 0002, Guoying Zhao 0003, Minghui Jiang 0002, Xuerong Mao
ICIC (2)4
2004 Algebraic conditions of stability for hopfield neural network
Xiaoxin Liao, Xuerong Mao, Jun Wang 0002, Zhigang Zeng
Sci. China Ser. F Inf. Sci.2