Coupling Evolutionary Algorithms With Nonlinear Dynamical Systems: An Efficient Tool for Excitation Design and Optimization

Many chaotic dynamical systems can produce time series with a wide range of temporal and spectral properties as a function of only a few fixed parameters. This malleability invites their use as tools for shaping or designing inputs used to drive a separate dynamical system of interest. By specifying...

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Veröffentlicht in:	IEEE transactions on evolutionary computation 2011-08, Vol.15 (4), p.437-443
Hauptverfasser:	Olson, C. C., Nichols, J. M., Todd, M. D., Michalowicz, J. V., Bucholtz, F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Chaos Computer science control theory systems damage detection differential evolution Dynamical systems Dynamics Evolutionary algorithms Evolutionary computation Exact sciences and technology Frequency modulation Fundamental areas of phenomenology (including applications) Inference from stochastic processes time series analysis Malleability Mathematical analysis Mathematical models Mathematical programming Mathematics Measurement and testing methods Nonlinear dynamical systems nonlinear dynamics Operational research and scientific management Operational research. Management science Optimization Phase locked loops Physics Probability and statistics Sciences and techniques of general use Solid mechanics Statistics Structural and continuum mechanics Time series analysis
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