Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 56 for “"Chaotic Systems"”.
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Estimation and detection with chaotic systems
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Channel equalization for self-synchronizing chaotic systems
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Limits to extreme event forecasting in chaotic systems
Predicting extreme events in chaotic systems, characterized by rare but intensely fluctuating properties, is of great importance due to their impact on the performance and reliability of a wide range of systems. Some examples include weather forecasting, traffic management, power grid operations, …
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Analysis and synthesis of self-synchronizing chaotic systems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Transmission channel compensation in self-synchronizing chaotic systems
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Quasi-orthogonal wideband radar waveforms based on chaotic systems
… radar channels. Due to the random nature of chaotic signals, it is possible to develop a procedure for generating large sets (> 50) of quasi-orthogonal radar waveforms using deterministic chaos. Deterministic chaos is defined as a bounded, aperiodic flow with a sensitive dependence on initial …
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An efficient algorithm for sensitivity analysis of chaotic systems
How does long-term chaotic behavior respond to small parameter perturbations? Using detailed models, chaotic systems are frequently simulated across disciplines – from climate science to astrophysics. But, an efficient computation of parametric derivatives of their statistics or long-term averages, …
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EEG Feature Extraction and Pattern Recognition Based on Chaotic Systems
Nonlinear dynamical systems exhibit a wide variety of dynamic behaviour, including chaotic dynamics. Previous studies have reported the chaotic nature of EEG (Electroencephalogram) signals and various feature extraction techniques for pattern recognition. This work is an effort to investigate the …
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Fractal Dimensions in Classical and Quantum Mechanical Open Chaotic Systems
… to be a characteristic feature arising from chaotic dynamics; be it in the form of strange attractors, of fractal boundaries around basins of attraction, or of fractal and multifractal distributions of asymptotic measures in open systems. In this thesis we study fractal and multifractal …
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Analysis and Design Security Primitives Based on Chaotic Systems for eCommerce
… algorithms and pseudorandom number generators. Chaotic systems and security algorithms have similar properties including sensitivity to any change or changes in the initial parameters, unpredictability, deterministic nature and random-like behaviour. Several security algorithms based on chaotic …
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Reduced rank filtering in chaotic systems with application in geophysical sciences
… system. Here, the focus is on geophysical systems with chaotic behavior defined as extreme sensitivity of the dynamics to perturbations in the state or parameters of the system. In particular, uncertainties in a chaotic system experience growth and instability along a particular set of …
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Stochastic green’s function method for the statistical analysis of wave chaotic systems
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01
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A signal processing framework for the analysis and application of chaotic systems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Least Squares Shadowing for sensitivity analysis of large chaotic systems and fluid flows
… break down when applied to long-time-averages of chaotic systems. This is problematic as many aerospace applications involve physical phenomena that exhibit chaotic dynamics, most notably high-resolution large eddy and direct numerical simulations of turbulent aerodynamic flows. Also, engineers …
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Reconstructing dynamics from data: Algorithms for the prediction, estimation, and correction of chaotic systems
… predicting and estimating the states of chaotic systems are of considerable interest to many disciplines. The interacting effects of sensitivity to initial conditions, imperfect modelling, and noisy observations cause challenges for their application. As sensors become ubiquitous, …
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Universal correlations in the quantum spectra of chaotic systems and exactly solvable many-body problems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 1994.
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Analytical and Numerical Methods Applied to Nonlinear Vessel Dynamics and Code Verification for Chaotic Systems
… method of manufactured solution is applied to systems with chaotic behavior. The purpose is to identify points with potential numerical discrepancies, and to improve computational efficiency. The numerical discrepancies may be due to the selection of error tolerances, precisions, etc. Two …
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Combining Physics-based Modeling, Machine Learning, and Data Assimilation for Forecasting Large, Complex, Spatiotemporally Chaotic Systems
… forecasting high-dimensional, spatiotemporally chaotic systems. We are primarily interested in the problem of forecasting the dynamics of the earth's atmosphere and oceans, where one seeks forecasts that (a) accurately reproduce the true system trajectory in the short-term, as desired in weather …
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Long-range predictability of high-dimensional chaotic dynamics
… the long range prediction of high dimensional chaotic systems. To this end, I investigate the important relationship between predictability and non-uniformity of information loss throughout the state space of a chaotic system. I introduce a genetic algorithm to build predictive models by …
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Long range predictability of high dimensional chaotic dynamics
… the long range prediction of high dimensional chaotic systems. To this end, I investigate the important relationship between predictability and non-uniformity of information loss throughout the state space of a chaotic system. I introduce a genetic algorithm to build predictive models by …
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