Abstract
Typically, online forecasting of pulse system dynamics assumes the usage of certain kinds of relevant a priori information. A bifurcation (or a parametric) diagram is one of the most informative forms of presentation of dynamics evolution. However, the data represented in this form is usually insufficient for one-to-one identification of the present system state and dynamics evolution direction, especially when online decision-making is necessary. In this paper two additional modified bifurcation diagrams are introduced. These diagrams provide a framework for deriving an algorithm which can be used to solve, in a step-by-step manner, a complex problem that consists in dynamics monitoring, identification and forecasting.
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