Context in source publication

Context 1
... Z is irreducible. Finally observe that T * c is the first return time of the coupled Markov chain to the state (x * , x * ). Since Z is irreducible and has a stationary distribution, it is positive recurrent according to Thm. 3.21. By Thm. 3.18, this implies P[T * c < ∞] = 1, which completes the proof of the statement. Fig. 9 summarizes the long run behavior of irreducible and aperiodic Markov ...

Similar publications

Article
Full-text available
In this paper, new practical stability conditions for a class of nonlinear time varying delay systems are proposed. The study is based on the use of a specific state space description, known as the Benrejeb characteristic arrowformmatrix, and aggregation techniques to obtain delay-dependent stability conditions. Application of this method to delaye...
Data
Full-text available
The paper introduces a method of mathematical modeling of high scale road traffic networks, where a new special hyper-matrix structure is intended to be used. The structure describes the inner–inner, inner–outer and outer–outer relations, and laws of a network area. The research examines the nonlinear equation system. The analysed model can be appl...
Article
Full-text available
The paper introduces a method of mathematical modeling of high scale road traffic networks, where a new special hyper-matrix structure is intended to be used. The structure describes the inner-inner, inner-outer and outer-outer relations, and laws of a network area. The research examines the nonlinear equation system. The analysed model can be appl...
Preprint
Full-text available
An estimated state-space model can possibly be improved by further iterations with estimation data. This contribution specifically studies if models obtained by subspace estimation can be improved by subsequent re-estimation of the B, C, and D matrices (which involves linear estimation problems). Several tests are performed, which shows that it is...
Article
Full-text available
An estimated state-space model can possibly be improved by further iterations with estimation data. This contribution specifically studies if models obtained by subspace estimation can be improved by subsequent re-estimation of the B, C, and D matrices (which involves linear estimation problems). Several tests are performed, which show that it is g...