Xiaoming Hu

Xiaoming Hu


Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

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

Representative Publications

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1 December 2001 in IEEE Transactions on Robotics and Automation
Verified
Journal Article
Closed access
MEM. Egerstedt
M. Egerstedt
XHXiaoming Hu
Xiaoming Hu
We propose a model independent coordination strategy for multi-agent formation control. The main theorem states that under a bounded tracking error assumption, our method stabilizes the formation error. We illustrate the usefulness of the method by applying it to rigid body constrained motions.

10 December 2002 in IEEE Transactions on Robotics and Automation
Verified
Journal Article
Closed access
POP. Ogren
P. Ogren
MEM. Egerstedt
M. Egerstedt
XHXiaoming Hu
Xiaoming Hu
In this paper, the multiagent coordination problem is studied. This problem is addressed for a class of robots for which control Lyapunov functions can be found. The main result is a suite of theorems about formation maintenance, task completion time, and formation velocity. It is also shown how to moderate the requirement that, for each individual robot, there exists a control Lyapunov function. An example is provided that illustrates the soundness of the method.

1 March 2008 in Asian Journal of Control
Verified
Journal Article
Closed access
PDF file
JWJinhuan Wang
Jinhuan Wang
DCDaizhan Cheng
Daizhan Cheng
XHXiaoming Hu
Xiaoming Hu

1 November 2001 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
MEM. Egerstedt
M. Egerstedt
XHXiaoming Hu
Xiaoming Hu
ASA. Stotsky
A. Stotsky
Two model independent solutions to the problem of controlling wheel-based mobile platforms are proposed. These two algorithms are based on a so called virtual vehicle approach, where the motion of the reference point on the desired trajectory is governed by a differential equation containing error feedback. This, combined with the fact that the proven stable control algorithms are basically proportional regulators with arbitrary positive gains, make the solutions robust with respect to errors and disturbances, as demonstrated by the experimental results.

1 April 2004 in Automatica
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Journal Article
Closed access
HRHenrik Rehbinder
Henrik Rehbinder
XHXiaoming Hu
Xiaoming Hu

1 March 2014 in Automatica
Verified
Journal Article
Closed access
JTJohan Thunberg
Johan Thunberg
WSWenjun Song
Wenjun Song
EMEduardo Montijano
Eduardo Montijano
YHYiguang Hong
Yiguang Hong
XHXiaoming Hu
Xiaoming Hu