The numerical simulations clearly verify the effectiveness of the developed sliding mode control approach to the synchronization of nonidentical two chaotic neural networks with discrete and distributed time-varying delays as well as leakage delay.
Based on the developed theoretical mode, the influences of the FGM properties, gradient index, sandwich type, skin-core-skin ratios and porous material type on sound transmission loss are subsequently presented.
With the developed model, in extensional Rayleigh and Love modes can be identified having frequencies close to each other.
It is shown that the developed model predicts the ultimate strengths and failure modes of test specimens well.
The developed model is used for the simulation of mixed-mode bending tests on bi-material interfaces and the response is compared to the experimental results.
The developed model is complemented with a state machine that implements the sequential control among the different stages that define its operational modes.
The frequency of human respiratory movement can be estimated based on the developed ensemble empirical mode decomposition (EEMD -based accumulation tEEMD -based caccumulation techniquenics effectively.
The frequency of human respiratory movement can be estimated more accurately by employing the developed ensemble empirical mode decomposition (EEMD -based accumulation mEEMD -basedhe first time, which caccumulationimethod the harmonics oforuman respirathey movement.
In the developed prototype, longitudinal modes accompany a transient response to the designed flexural mode, because electrodes are placed at the half-wavelength around the piezoelectric lead zirconate titanate tube (PZT tube).
The developed free-interface component mode synthesis method could be used to establish governing equations and to analyze the characteristics of nonlinear aeroelastic systems.
