Xiongping Dai
Nanjing University
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Publication
Featured researches published by Xiongping Dai.
Siam Journal on Control and Optimization | 2008
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
Siam Journal on Control and Optimization | 2009
Xiongping Dai; Yu Huang; MingQing Xiao
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IEEE Transactions on Automatic Control | 2015
Xiongping Dai; Yu Huang; MingQing Xiao
-almost sure stability is derived, where
international conference on control and automation | 2010
Xiongping Dai; Yu Huang; MingQing Xiao
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Journal of The Franklin Institute-engineering and Applied Mathematics | 2017
Xiongping Dai; Tingwen Huang; Yu Huang; Yi Luo; Gang Wang; MingQing Xiao
is the Parry measure of the topological Markov chain with a prescribed transition (0,1)-matrix
conference on decision and control | 2008
Xiongping Dai; Yu Huang; MingQing Xiao
A
Automatica | 2011
Xiongping Dai; Yu Huang; MingQing Xiao
. The obtained
Linear Algebra and its Applications | 2012
Xiongping Dai
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Electronic Research Announcements in Mathematical Sciences | 2011
Xiongping Dai; Yu Huang; MingQing Xiao
-almost sure stability is invariant under small perturbations of the system. The topological description of stable processes of switched linear systems in terms of Hausdorff dimension is given, and it is shown that our approach captures the maximal set of stable processes for linear switched systems. The obtained results cover the stochastic Markov jump linear systems, where the measure is the natural Markov measure defined by the transition probability matrix. Two examples are provided to illustrate the theoretical outcomes of the paper.
Linear Algebra and its Applications | 2012
Xiongping Dai; Yu Huang; Jun Liu; MingQing Xiao
For a given continuous-time switched system, its stability is determined by (i) the structure of the system; (ii) the admissible switching set; and (iii) the duration time in each subsystem. Both (ii) and (iii) are stability characterizations of switching dynamics for continuous-time switched systems. In this paper, we introduce a new type of characteristic exponent, the Liao-type exponent, which is computable, to capture the stability feature of continuous-time switched systems. We obtain two criteria of asymptotic exponential stability for linear and nonlinear cases by estimating the corresponding Liao-type exponents, respectively. The proposed approach is constructive and the obtained results allow existence of switching constraints. Several examples are provided to illustrate theoretical outcomes of the paper.