Algorithm for Calculating Noise Immunity of Cognitive Dynamic Systems in the State Space

The research method consists in applying the state space method, widely used study of automatic dynamical systems, to describe behavior cognitive systems. It is assumed, that at input system, there a signal and interference described by Poisson point processes, modeling amount information, emotional stress, etc., corresponding each event. properties system paper are taken into account two circumstances. Firstly, events localized time characterized not only distribution times their occurrence, but also some random variables characterize importance (significance) for system. A typical example attribution certain information event, if an processing modeled. Another reaction person appearance classic work on psychology. In this case, event causes effects stress modeled relative magnitude accordance with Holmes Rahe scale. Secondly, assimilates, adapts impact has it its inherent speed. paper, phenomenon as passage process through dynamic differential equations. Such processes called filtered processes. Examples impacts given and, simplicity, assumption made about received when occurs. Thus, model equation space, which messages load appear discrete moments time. As any technical faces task evaluating quality work. regard, substantiates use convenient index from engineering view appropriate criterion form – ratio. new results equations mathematical expectations interference, well algorithm calculating noise immunity example, graph particular calculated presented, confirming intuitive idea behavior. conclusion , noted main result systems using allow non-stationary under function intensities points. expectation processed reduced canonical form, allows them be applied variety practical tasks, description hierarchical structures output one level another.