Non Homogeneous Markov Chain
Non Homogeneous Markov Chain . Hence x 1 has the same distribution as x 0 and by induction x n has the same distribuition as x 0. When a homogeneous process is assumed ( markovchain object) a sequence is sampled of size n. (PDF) Approximation Results for NonHomogeneous Markov Chains and Some from www.researchgate.net Doeblin [1] considered some classes of finite state nonhomogeneous markov chains and studied their asymptotic behavior. They can be used to model non homogeneous discrete time markov chains, when transition probabilities (and possible states) change by time. This paper focuses on the stabilization problem for a class of networked control systems where packet loss is described by a markov chain.