Predicting Tipping Points in Chaotic Maps with Period-Doubling Bifurcations

Abstract

In this paper, bifurcation points of two chaotic maps are studied: symmetric sine map and Gaussian map. Investigating the properties of these maps shows that they have a variety of dynamical solutions by changing the bifurcation parameter. Sine map has symmetry with respect to the origin, which causes multistability in its dynamics. The systems’ bifurcation diagrams show various dynamics and bifurcation points. Predicting bifurcation points of dynamical systems is vital. Any bifurcation can cause a huge wanted/unwanted change in the states of a system. Thus, their predictions are essential in order to be prepared for the changes. Here, the systems’ bifurcations are studied using three indicators of critical slowing down: modified autocorrelation method, modified variance method, and Lyapunov exponent. The results present the efficiency of these indicators in predicting bifurcation points.

Design and Implementation of Software-Defined Data Center (SDDC) for Medical Colleges and Universities

“…Network monitoring includes real-time topology viewing, message notification, link information, and traffic information. Link monitoring can view the bandwidth statistics of each switch port, and the traffic usage of each core switch, aggregation switch, and edge switch [37]. Configuration management includes the configuration of routing algorithms, server information, cluster information, and switch information.…”