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© 2014

Noise-Driven Phenomena in Hysteretic Systems

  • Examines the investigation of constructive effects of noise in hysteretic systems

  • Discusses hysteretic systems with complex metastable state configurations

  • Provides an overview of key results on signal processing (dithering effect) and nanotechnology (signal amplification in carbon nanotube transistors) to climate models (ice age) and neuroscience (neuron spiking)

Book

Part of the Signals and Communication Technology book series (SCT, volume 218)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Mihai Dimian, Petru Andrei
    Pages 1-63
  3. Mihai Dimian, Petru Andrei
    Pages 65-103
  4. Mihai Dimian, Petru Andrei
    Pages 141-165
  5. Mihai Dimian, Petru Andrei
    Pages 167-200
  6. Mihai Dimian, Petru Andrei
    Pages 201-217
  7. Back Matter
    Pages 219-233

About this book

Introduction

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 scalar and vector hysteretic nonlinearities originating from various areas of science and engineering. The universality of the authors approach is also 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 systems, and pink noise, ubiquitous in multi-stable electronic systems. The book is accompanied by HysterSoft© - a robust simulation environment designed to perform complex hysteresis modeling – that can be used by the reader to reproduce many of the results presented in the book as well as to research both disruptive and constructive effects of noise in hysteretic systems.

 

Keywords

Coherence resonance Hysteresis systems Meta-stability Noise spectral analysis Noise-driven phenomena Phase transitions Spectral density Stochastic resonance Thermal relaxations resonance phenomena

Authors and affiliations

  1. 1.Department of Electrical and Computer EnHoward UniversityWashington DCUSA
  2. 2.Department of Electrical and Computer EngineeringFlorida State University and Florida A&M UniversityTallahasseUSA

About the authors

Dr. Mihai Dimian is Associate Professor in Electrical and Computer Engineering at Howard University, Washington DC, and Professor in Electrical Engineering and Computer Science at Stefan cel Mare University, Suceava, Romania


Dr. Petru Andrei  is Associate Professor of Electrical and Computer Engineering at Florida State University and Florida Agricultural and Mechanical University in Tallahassee FL

Bibliographic information

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