This article conducts the research in view of the chaos characteristic of inward flow quantity data in Sewage Treatment Plant. During the research, we put to use small sampling time: tau(s) = 1 h, to avoid losing some...
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ISBN:
(纸本)9781424447053
This article conducts the research in view of the chaos characteristic of inward flow quantity data in Sewage Treatment Plant. During the research, we put to use small sampling time: tau(s) = 1 h, to avoid losing some partial information in the primary signal. First, we calculate the Lyapunov's maximal index to determine the chaos characteristics of time sequence based on the phase space restructuring foundation. Then there will be the CRP analysis to the sewage time series. At last, by using the substitution data law, we can eliminate the possibility that time series is quasi periodic, and we can get the conclusion that the time series of contaminated water volume is deterministic system produced by nonlineardynamics.
The human cardiovascular system exhibits complicated dynamics. Various signal analysis techniques have been utilized to study electrocardiogram (ECG) rate and morphology for their potentials in diagnosis and predictio...
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ISBN:
(纸本)9781424438372
The human cardiovascular system exhibits complicated dynamics. Various signal analysis techniques have been utilized to study electrocardiogram (ECG) rate and morphology for their potentials in diagnosis and prediction of cardiovascular diseases. Conventional methods of linear signal theory, including power spectral analysis and time-domain analysis, have been widely adopted to analyze heart rhythm disorders due to cardiomyopathy and fibrillation. However, the success of these techniques is often hampered by the nonstationary and nonlinear character of the heart's activities. To overcome these limitations, many techniques based on nonlineardynamics and chaos theory have been developed. In this work, we investigate various existing techniques for their potential application in the diagnosis of rhythm disorders. This comparison of different methodologies can be used as a guideline in selecting proper ECG signal analysis techniques.
We experimentally demonstrate dynamic nonlinear optofluidic controls: symbiotic action between light and fluid introduces a new class of high-level, entirely optofluidic devices, revealing a self-pulsating light-fluid...
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Non-intrusive polynomial chaos expansion (PCE) and stochastic collocation (SC) methods are attractive techniques for uncertainty quantification (UQ) due to their strong mathematical basis and ability to produce functi...
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Based on boost converter operating in discontinuous mode, this paper proposes an energy balance model (EBM) for analyzing bifurcation and chaos phenomena of capacitor energy and output voltage when the converter param...
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Based on boost converter operating in discontinuous mode, this paper proposes an energy balance model (EBM) for analyzing bifurcation and chaos phenomena of capacitor energy and output voltage when the converter parameter is varying. It is found that the capacitor energy and output voltage dynamic behaviors exhibit the typical period- doubling route to chaos by increasing the feedback gain constant K of proportional controller. The accurate position of the first bifurcation point and the iterative diagram of the capacitor energy with every K can be derived from EBM. Finally, the underlying causes for bifurcations and chaos of a general class of nonlinear systems such as power converters are analyzed from the energy balance viewpoint. Comparing with the discrete iterative model, EBM is simple and high accuracy .This model can be easily developed on the nonlinear study of the other converters.
This article conducts the research in view of the chaos characteristic of inward flow quantity data in Sewage Treatment Plant During the research, we put to use small sampling time: τs = 1 h, to avoid losing some par...
详细信息
This article conducts the research in view of the chaos characteristic of inward flow quantity data in Sewage Treatment Plant During the research, we put to use small sampling time: τs = 1 h, to avoid losing some partial information in the primary signal. First, we calculate the Lyapunov's maximal index to determine the chaos characteristics of time sequence based on the phase space restructuring foundation. Then there will be the CRP analysis to the sewage time series. At last, by using the substitution data law, we can eliminate the possibility that time series is quasi periodic, and we can get the conclusion that the time series of contaminated water volume is deterministic system produced by nonlineardynamics.
The human cardiovascular system exhibits complicated dynamics. Various signal analysis techniques have been utilized to study electrocardiogram (ECG) rate and morphology for their potentials in diagnosis and predictio...
详细信息
ISBN:
(纸本)9781424438372
The human cardiovascular system exhibits complicated dynamics. Various signal analysis techniques have been utilized to study electrocardiogram (ECG) rate and morphology for their potentials in diagnosis and prediction of cardiovascular diseases. Conventional methods of linear signal theory, including power spectral analysis and time-domain analysis, have been widely adopted to analyze heart rhythm disorders due to cardiomyopathy and fibrillation. However, the success of these techniques is often hampered by the nonstationary and nonlinear character of the heart's activities. To overcome these limitations, many techniques based on nonlineardynamics and chaos theory have been developed. In this work, we investigate various existing techniques for their potential application in the diagnosis of rhythm disorders. This comparison of different methodologies can be used as a guideline in selecting proper ECG signal analysis techniques.
Recently, there has been an extensive interest in research on the analysis and control of chaotic behavior in nonlinear systems. Various control problems can be defined for such systems, such as targeting the trajecto...
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ISBN:
(纸本)1424415446
Recently, there has been an extensive interest in research on the analysis and control of chaotic behavior in nonlinear systems. Various control problems can be defined for such systems, such as targeting the trajectories to a desired point, stabilizing unstable periodic orbits etc. In this paper we present the necessity and possibility to control chaotic dynamic systems. The first part of this paper describes the methods for the identification of Unstable Periodic Orbits (UPO) of a chaotic dynamic system. Some methods of control are applied to stabilize UPO embedded in the dynamics of the system. The chaos control was first advanced by Ott, Grebogi and York (OGY method). Finally, the resonant parametric perturbation method is applied to control chaos in buck converter. In particular, the effect of phase shift in the perturbing signal is studied.
The recently developed methods in nonlineardynamics and chaos time series analysis are used in this study to analyze, delineate and quantify the underlying coastal water level and surge dynamics in the North Sea alon...
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ISBN:
(纸本)9781424418206
The recently developed methods in nonlineardynamics and chaos time series analysis are used in this study to analyze, delineate and quantify the underlying coastal water level and surge dynamics in the North Sea along several locations at the Dutch coast. This study analyzes seven water level and surge data sets, five of which characterize coastal locations and two relate to the open sea locations. Both the water level data and the surge data (with the astronomical fide removed) are analyzed. The main objective of this analysis is to delineate and quantify the underlying dynamics of the coastal water levels and to quantify the variability and predictability of the coastal dynamics along the Dutch coast based on time series of observables. Based on the reconstructed multivariate phase space of the water level and surge dynamics, adaptive multivariate local models were built which typically yield more reliable and accurate short-term predictions compared to neural networks.
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