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Flexible double inverted pendulum system is a higher order, nonlinear and strong coupling unstable system. In order to achieve the steady control of the pendulum, an improved method of sliding mode control with boundary layer is put forward. Linear feedback is replaced with nonlinear feedback within the boundary layer. A mathematical model of flexible double inverted pendulum which is based on mechanism...
Frequency component is critical for the brain to execute cognitive function by way of communication and cooperation of electrical signals. Complex network could visualize the neural system quantitatively and objectively based on graph theory. In this paper, we would focus on the study of broadband electroencephalogram recordings and combine phase locking value with resilience test to uncover frequency...
An uniplanar capacitance sensor is a core device of high-precision instrument applied to measure wood moisture content, permittivity, etc. In nature, it is a special case of a capacitance sensor of unspecific form. This paper describes the numerical solution to a mathematical model of uniplanar capacitance sensor. An uniplanar capacitance sensor with specific size was taken as an example in this study,...
Ultrasound B-scan exhibits shadowing and enhancement artifacts due to acoustic wave propagation and spatially varying scatter attenuation across layers of tissues. These artifacts hide underlying echo signals that are truly clinically indicative of diseases. Attenuation compensation estimates and corrects for shadowing and enhancement artifacts, which improves the quality of ultrasound imaging. Block-based...
The two uncoupled Hindmarsh-Rose neurons under different initial conditions is stimulated by the chaos signal; and the synchronization characteristics of the two uncoupled neurons is discussed by analyzing their membrane potentials and their interspike interval (ISI) distribution. Under the stimulation of the chaos signal, the two uncoupled neurons under different initial conditions, whose parameter...
Add-weighted one-rank local-region multi-steps forecasting model (AOLMM) is adopted to predict the neuron spikes of MPTP monkey model of Parkinson??s disease (PD).The AOLMM based on Takens embedding theory has been proved as effectively predict many chaotic systems and overcome some shortcomings like Large computational quantity and cumulative error of other chaotic prediction methods. Many previous...
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