Xiangyu Meng

Dr. Xiangyu Meng

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2013 in Automatica
Verified
Journal Article
Closed access
XMXiangyu Meng
Xiangyu Meng
TCTongwen Chen
Tongwen Chen

7 October 2008 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
HGHuijun Gao
Huijun Gao
XMXiangyu Meng
Xiangyu Meng
TCTongwen Chen
Tongwen Chen
This paper presents a new approach to solving the problem of stabilization for networked control systems. Mean-square asymptotic stability is derived for the closed-loop networked control systems, and based on this, a controller design procedure is proposed for stabilization purpose. An inverted pendulum system is utilized to show the effectiveness and applicability of the proposed results.

10 March 2011 in IEEE Transactions on Control Systems Technology
Verified
Journal Article
Closed access
SWShaobu Wang
Shaobu Wang
XMXiangyu Meng
Xiangyu Meng
TCTongwen Chen
Tongwen Chen
Like general network communication, there are network-induced delays, data packet dropout and disordering in the communication of wide-area measurement systems. What impact do these factors have on the control of wide-area closed-loop power systems? This study aims at developing methods in order to take these factors into account in control of wide-area power systems. First, a networked control system model is constructed for wide-area closed-loop power systems; in this model, network-induced delays, data packet dropout, and disordering are captured by time-varying delays in wide-area measurement systems. Then, linear matrix inequality based methods are applied to design a controller for better power system performance using wide-area information as feedback signals. The controller can tolerate network-induced delays, data packet dropout, and disordering in the communication of wide-area measurement systems. Finally, we give some simulation results showing the effectiveness of our approach.

1 March 2010 in Automatica
Verified
Journal Article
Closed access
XMXiangyu Meng
Xiangyu Meng
JLJames Lam
James Lam
BDBaozhu Du
Baozhu Du
HGHuijun Gao
Huijun Gao

21 May 2012 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
XMXiangyu Meng
Xiangyu Meng
TCTongwen Chen
Tongwen Chen
In this technical note, several issues of periodic and event-based impulse control for a class of second order stochastic systems are considered, including the optimal sampling and performance comparison. The procedures are provided to design the optimal sampling period for periodic sampling and optimal threshold for event based sampling. It is demonstrated that event-based impulse control outperforms periodic impulse control in terms of mean-square state variations, while both having the same average control rate.

1 January 2017 in Automatica
Verified
Journal Article
Closed access
YWYuanqing Wu
Yuanqing Wu
XMXiangyu Meng
Xiangyu Meng
LXLihua Xie
Lihua Xie
RLRenquan Lu
Renquan Lu
HSHongye Su
Hongye Su
ZWZheng-Guang Wu
Zheng-Guang Wu