Overview
- Editors:
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Salvatore Baglio
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Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, University of Catania, Catania, Italy
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Adi Bulsara
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Space and Naval Warfare Systems Center, San Diego, USA
- Devoted specifically to the applications of complex nonlinear dynamic phenomena to real systems and device applications
- Applies new fields of nonlinear dynamics (e.g. stochastic resonance, experimental chaos and neural coding) to make devices operate more efficiently and cheaply
- Brings together researchers from physics, engineering, biology and chemistry
- Coherent treatise of the International Conference on Device Applications of Nonlinear Dynamics Catrania Italy October 2005
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Table of contents (24 chapters)
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Nonlinear Dynamics, Materials and Sensing Devices
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- J.R. Kruse, D. Ryvkine, M.I. Dykman, B. Golding
Pages 25-35
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- R.L. Badzey, G. Zolfagharkhani, S.-B. Shim, A. Gaidarzhy, P. Mohanty
Pages 37-49
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- C.M. Craciunescu, I. Mihalca, V. Budau
Pages 51-65
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- V. In, A.R. Bulsara, A. Kho, A. Palacios, P. Longhini, S. Baglio et al.
Pages 67-82
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- C. Bonomo, L. Fortuna, P. Giannone, S. Graziani, S. Strazzeri
Pages 83-99
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- M.R. D’Orsogna, Y.-li Chuang, A.L. Bertozzi, L.S. Chayes
Pages 103-113
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- B. Andò, S. Baglio, V. Sacco, A. Bulsara, V. In
Pages 115-127
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- S. Baglio, P. Barrera, N. Savalli, V. Sacco
Pages 129-137
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- A. Boscolo, E. Menosso, B. Piuzzi, M. Toppano
Pages 139-144
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- P.B. Stiffell, M.J. Everitt, T.D. Clark, A.R. Bulsara, J.F. Ralph
Pages 145-151
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Signal Processing and Applications
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- N.G. Stocks, A. Nikitin, R.P. Morse
Pages 157-169
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- M.D. King, S. Seo, J. Kim, M. Cheng, S. Higgins, R. Young et al.
Pages 171-179
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- A. Bhatacharyay, J.K. Bhattacharjee
Pages 183-189
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- E.C. Carcano, P. Bartolini, M. Muselli
Pages 191-200
About this book
The past two decades have witnessed an explosion of ideas in the general ?eld of nonlinear dynamics. In fact, it has become increasingly clear that areas as diverse as signal processing, lasers, molecular motors, and biomedical anomalies have a c- mon underlying thread: the dynamics that underpin these systems are inh- ently nonlinear. Yet, while there has been signi?cant progress in the theory of nonlinear phenomena under an assortment of system boundary conditions andpreparations,thereexistcomparativelyfewdevicesthatactuallytakethis rich behavior into account. In the presence of background noise (a given, for most practical appli- tions), the underlying dynamic phenomena become even richer, with the noise actually mediating cooperative behavior that, when properly understood, can lead to signi?cant performance enhancements; a striking example of this - havior occurs, for example, when the underlying dynamics undergoes a bif- cation from static to oscillating behavior when a control parameter is swept through a critical value. If properly understood, theoretically, the (suitably quanti?ed) system response can be signi?cantly enhanced near the onset of the bifurcation. Examples of this behavior have been observed in a large n- ber of laboratory experiments on systems ranging from solid state lasers, to SQUIDs, and such behavior has been hypothesized to account for some of the more striking information processing properties of biological neurons. In many cases, background noise can precipitate this behavior, thereby playing a signi?cant role in the optimization of the response of these systems to small external perturbations.
Editors and Affiliations
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Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, University of Catania, Catania, Italy
Salvatore Baglio
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Space and Naval Warfare Systems Center, San Diego, USA
Adi Bulsara