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Noise-Driven Phenomena in Hysteretic Systems provides a general approach to nonlinear systems with hysteresis driven by noisy inputs, which leads to a unitary framework for the analysis of various stochastic aspects of hysteresis. This book includes integral, differential and algebraic models that are used to describe hysteretic nonlinearities originating from the classical application areas of magnetism and plasticity, as well as from photonics, superconductivity, computer science, biology, hydrology, neuroscience and economics. The authors approach is reflected by the diversity of the models used to portray the input noise, from the classical Gaussian white noise to its impulsive forms, often encountered in economics and biological hysteretic systems, and pink noise, ubiquitous in multi-stable electronic systems.