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Dive into the research topics where MingQing Xiao is active.

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Featured researches published by MingQing Xiao.


Siam Journal on Control and Optimization | 2002

Nonlinear Observer Design in the Siegel Domain

Arthur J. Krener; MingQing Xiao

We extend the method of Kazantzis and Kravaris [Systems Control Lett., 34 (1998), pp. 241--247] for the design of an observer to a larger class of nonlinear systems. The extended method is applicable to any real analytic observable nonlinear system. It is based on the solution of a first-order, singular, nonlinear PDE. This solution yields a change of state coordinates which linearizes the error dynamics. Under very general conditions, the existence and uniqueness of the solution is proved. Lyapunovs auxiliary theorem and Siegels theorem are obtained as corollaries. The technique is constructive and yields a method for constructing approximate solutions.


Systems & Control Letters | 2002

Observers for linearly unobservable nonlinear systems

Arthur J. Krener; MingQing Xiao

We provide a method for constructing local observers for some nonlinear systems around a critical point where the linearization is not observable or not detectable. Two examples are provided to illustrate the results of the paper.


IEEE Transactions on Automatic Control | 2003

Nonlinear discrete-time observer design with linearizable error dynamics

MingQing Xiao; Nikolaos Kazantzis; Costas Kravaris; Arthur J. Krener

A necessary and sufficient condition for the existence of a discrete-time nonlinear observer with linearizable error dynamics is provided. The result can be applied to any real analytic nonlinear system whose linear part is observable. The necessary and sufficient condition is the solvability of a nonlinear functional equation. Furthermore, the well-known Siegels theorem on the linearizability of a mapping is naturally reproduced in a corollary. The proposed observer design method is constructive and can be applied approximately to any sufficiently smooth, linearly observable system yielding a local observer with approximately linear error dynamics.


IEEE Transactions on Automatic Control | 2006

A direct method for the construction of nonlinear discrete-time observer with linearizable error dynamics

MingQing Xiao

We provide a direct method for the design of nonlinear discrete-time observers by a construction of a change of variables. An explicit expression of the change of variables is given. Some simulations for chaotic systems, such as Lozi system and He/spl acute/non system, are provided to illustrate the proposed method.


Siam Journal on Control and Optimization | 2004

Erratum: Nonlinear Observer Design in the Siegel Domain

Arthur J. Krener; MingQing Xiao

There is an error in the proof of the main result of our paper SIAM J. Control Optim., 41 (2002), pp. 932--953]. An additional assumption is needed for the main result to hold. In this erratum, we supply a corrected version of the main result.


Siam Journal on Control and Optimization | 2008

Almost Sure Stability of Discrete-Time Switched Linear Systems: A Topological Point of View

Xiongping Dai; Yu Huang; MingQing Xiao

In this paper, we study the stability of discrete-time switched linear systems via symbolic topology formulation and the multiplicative ergodic theorem. A sufficient and necessary condition for


Systems & Control Letters | 2006

The global existence of nonlinear observers with linear error dynamics: A topological point of view

MingQing Xiao

\mu_A


Siam Journal on Applied Mathematics | 2000

Center Manifold of the Viscous Moore--Greitzer PDE Model

MingQing Xiao; Tamer Basar

-almost sure stability is derived, where


Archive | 2013

A Survey of Observers for Nonlinear Dynamical Systems

Wei Kang; Arthur J. Krener; MingQing Xiao; Liang Xu

\mu_A


IFAC Proceedings Volumes | 2001

Nonlinear Observer Design in the Siegel Domain Through Coordinate Changes 1

Arthur J. Krener; MingQing Xiao

is the Parry measure of the topological Markov chain with a prescribed transition (0,1)-matrix

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Yu Huang

Sun Yat-sen University

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Jun Liu

Southern Illinois University Carbondale

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Xuejun Gao

Guangdong University of Technology

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Jun Luo

Sun Yat-sen University

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