Device Applications of Nonlinear Dynamics

1. Front Matter

   Pages I-XI

   PDF

2. Opening Plenary Talk

   1. Front Matter

      Pages I-XI

      PDF

   2. Use of Chaos to Improve Equipments

      • L. Fortuna, M. Frasca

      Pages 3-9

3. Nonlinear Dynamics, Materials and Sensing Devices

   1. Front Matter

      Pages I-XI

      PDF

   2. Noise Induced Switching Between Oscillation States in a Nonlinear Micromechanical Oscillator

      • H.B. Chan, C. Stambaugh

      Pages 15-23

   3. Nonadiabaticity in Modulated Optical Traps

      • J.R. Kruse, D. Ryvkine, M.I. Dykman, B. Golding

      Pages 25-35

   4. Signal Processing and Control in Nonlinear Nanomechanical Systems

      • R.L. Badzey, G. Zolfagharkhani, S.-B. Shim, A. Gaidarzhy, P. Mohanty

      Pages 37-49

   5. Signal Modulation by Martensitic Control of Shape Memory Alloy Thin Film Actuator Architectures

      • C.M. Craciunescu, I. Mihalca, V. Budau

      Pages 51-65

   6. Exploiting Dynamic Cooperative Behavior in a Coupled-Core Fluxgate Magnetometer

      • V. In, A.R. Bulsara, A. Kho, A. Palacios, P. Longhini, S. Baglio et al.

      Pages 67-82

   7. Motion Sensors and Actuators Based on Ionic Polymer-Metal Composites

      • C. Bonomo, L. Fortuna, P. Giannone, S. Graziani, S. Strazzeri

      Pages 83-99

   8. Pattern Formation Stability and Collapse in 2D Driven Particle Systems

      • M.R. D’Orsogna, Y.-li Chuang, A.L. Bertozzi, L.S. Chayes

      Pages 103-113

   9. Uncertainty Sources in RTD-Fluxgate

      • B. Andò, S. Baglio, V. Sacco, A. Bulsara, V. In

      Pages 115-127

   10. Modeling and Design of Ferrofluidic Sensors

       • S. Baglio, P. Barrera, N. Savalli, V. Sacco

       Pages 129-137

   11. Thermocromic Materials for Temperature Sensors in New Applications

       • A. Boscolo, E. Menosso, B. Piuzzi, M. Toppano

       Pages 139-144

   12. A SQUID Ring-Resonator Finate State Machine

       • P.B. Stiffell, M.J. Everitt, T.D. Clark, A.R. Bulsara, J.F. Ralph

       Pages 145-151

4. Signal Processing and Applications

   1. Front Matter

      Pages I-XI

      PDF

   2. Suprathreshold Stochastic Resonance Mediated by Multiplicative Noise

      • N.G. Stocks, A. Nikitin, R.P. Morse

      Pages 157-169

   3. Noise for Health: Phage-Based Rapid Bacterial Identification Method

      • M.D. King, S. Seo, J. Kim, M. Cheng, S. Higgins, R. Young et al.

      Pages 171-179

   4. Parametric Resonance Near Hopf-Turing Instability Boundary

      • A. Bhatacharyay, J.K. Bhattacharjee

      Pages 183-189

   5. Recurrent Neural Networks in Rainfall–Runoff Modeling at Daily Scale

      • E.C. Carcano, P. Bartolini, M. Muselli

      Pages 191-200

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.

• Applied Nonlinear Dynamics
• Chaos
• Experimental Chaos
• Fuzzy
• Neural Coding
• Rapid Prototyping
• Springer Complexity
• Stochastic Resonance
• algorithm
• complex systems
• genetic algorithms
• modeling
• oscillation
• resonance
• stability

• Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, University of Catania, Catania, Italy

  Salvatore Baglio

• Space and Naval Warfare Systems Center, San Diego, USA

  Adi Bulsara

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