Kirichenko L. Simulation and recognition random and chaotic influence, operating on inhomogeneous Markov systems.

Simulation and recognition chaotic and random influence. The thesis is devoted to problems of simulation and research of evolution inhomogeneous Markov processes under operation chaotic and random influence. The methods of distinguishing of chaotic processes and random noise given by time series, based on a use of several criterions of a chaos are modified. The method of distinguishing, based on definition of a spectrum of Lyapunov exponents, is offered. The changes of the main characteristics Markov processes with focusing properties according to parameters of chaotic influence is analyzed. The results of a thesis were used for researching of stability of creation of medicinal preparations; for revealing anomalies in cardiac activity; for learning modes of operations chaotic oscillator.