Device Applications of Nonlinear Dynamics. 1st ed. 2006

種類:

電子ブック

責任表示:

edited by Salvatore Baglio, Adi Bulsara

出版情報:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006

著者名:

• Baglio, Salvatore.
• Bulsara, Adi.
• SpringerLink (Online service)

シリーズ名:

Understanding Complex Systems ;

ISBN:

9783540338789 [3540338780]    

注記:

Opening Plenary Talk -- Use of Chaos to Improve Equipments -- Nonlinear Dynamics, Materials and Sensing Devices -- Noise Induced Switching Between Oscillation States in a Nonlinear Micromechanical Oscillator -- Nonadiabaticity in Modulated Optical Traps -- Signal Processing and Control in Nonlinear Nanomechanical Systems -- Signal Modulation by Martensitic Control of Shape Memory Alloy Thin Film Actuator Architectures -- Exploiting Dynamic Cooperative Behavior in a Coupled-Core Fluxgate Magnetometer -- Motion Sensors and Actuators Based on Ionic Polymer-Metal Composites -- Pattern Formation Stability and Collapse in 2D Driven Particle Systems -- Uncertainty Sources in RTD-Fluxgate -- Modeling and Design of Ferrofluidic Sensors -- Thermocromic Materials for Temperature Sensors in New Applications -- A SQUID Ring-Resonator Finate State Machine -- Signal Processing and Applications -- Suprathreshold Stochastic Resonance Mediated by Multiplicative Noise -- Noise for Health: Phage-Based Rapid Bacterial Identificat
This edited book is devoted specifically to the applications of complex nonlinear dynamic phenomena to real systems and device applications. While in the past decades there has been significant progress in the theory of nonlinear phenomena under an assortment of system boundary conditions and preparations, there exist comparatively few devices that actually take this rich behavior into account. "Device Applications of Nonlinear Dynamics" applies and exploits this knowledge to make devices which operate more efficiently and cheaply, while affording the promise of much better performance. Given the current explosion of ideas in areas as diverse as molecular motors, nonlinear filtering theory, noise-enhanced propagation, stochastic resonance and networked systems, the time is right to integrate the progress of complex systems research into real devices.

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