Experimental Chaos: 7th Experimental Chaos Conference, San Diego, California, 26-29 August 2002
Visarath In, Ljupco Kocarev, Thomas L. Carroll, Bruce J. Gluckman, Stefano Boccaletti, Jürgen Kurths
American Inst. of Physics, Sep 4, 2003 - Science - 394 pages
Electronics, optics, and fluids have been strong fields for the application of nonlineardynamics. The trend over the years has been the growth of biophysics (especially neuroscience and cardiac dynamics), oceanography, and geophysics for the employment of the concepts and techniques of nonlinear dynamics. Topics include: electronics; optics; geophysics, oceanography, and meterology; hydrodynamics, turbulence, and plasmas; biophysics; neurophysiology; chemical chaos; interdisciplinary; as well as data analysis.
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Chaotic Circuits Based on Dependent Switched Capacitors
Synchronization of Oscillating Systems for Microwave Antennas
Delay Line HyperChaotic Oscillators in a Ring
43 other sections not shown
2003 American Institute algorithm amplitude analysis array attractor B. J. Gluckman beam behavior bifurcation diagram Boccaletti bred vectors bubble burst BV-dimension channel chaotic attractor chaotic oscillators circuit computation correlation correlation dimension corresponding curve cycle delay dimension dimensional distribution dynamical system effect embedding equations Experimental Chaos Conference experiments feedback FIGURE filter flow fluctuations fluid frequency function global heteroclinic Hilbert transform homoclinic orbit Hopf bifurcation initial injection Institute of Physics intensity Kocarev Kurths laser Lett loop Lyapunov exponent measured mode modulation motorneurons multifractal neurons noise nonlinear dynamics observed obtained optical orbit output parameters patterns periodic perturbation phase space phase synchronization Phys plasma prediction principal curve pulse quantum radio propagation reconstruction region relaxation oscillation resonance ripples scale sea clutter separatrices shown in Fig shows signal simulations spatial spectra spectrum stable manifold statistic structure T. L. Carroll trajectory unstable values variables voltage waveform waves