Approximate entropy measure of nonlinearities in a DC/DC converter

Power electronic based systems provide an interesting topic for researchers in the area of complexity due to multiple components, such as switches and feedback loops, that are recognized as complex because they introduce nonlinearities into the system. Because of the vast amount of infrastructure and human activity which rely on electrical systems for the existence and function, understanding and quantifying the emergent complexity in these systems is especially important. The research presented here is intended to facilitate an initial treatment of certain properties of complexity in a dc/dc converter, specifically nonlinear dynamics and emergence resulting from perturbations. We analyze simulated data from a noise coupled buck converter, using the ApEn (approximate entropy) measure, and examine its effectiveness in describing certain aspects of the system's behavior, such as bifurcation phenomena which have been found to cause faults in electrical power systems.

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