Adjustments to cricothyroid and thyroarytenoid muscle activation are critical to the control of fundamental frequency and aerodynamic aspects of vocal fold vibration in humans. The aerodynamic and physical effects of these muscles are not well understood and are difficult to study in vivo. Knowledge of the contributions of these two muscles is essential to understanding both normal and disorder...

In this paper a high order sliding manifold control approach is adopted as a technique to effectively reduce the vibrations of a metal rectangular panel. A novel theoretical result for an output feedback control law is presented to show how the singular perturbation theory can be used to tackle the problem of active vibration control. In this paper we address the problem of reducing vibration o...

A new method to detect coal gangue interface by utilizing vibration signal of coal and gangue is presented for coal and gangue interface detection on fully mechanized mining face. Because of non-stationary characteristics contained in response signals under complicated environment, empirical mode decomposition algorithm was used to decompose the original vibration signal into the intrinsic mode...

Expanding radar applications in the area of measuring vibration movements could improve the effectiveness of modern defence systems. The purpose of the vibration measurement is to enrich the information of a targets signature, thus improving the process of target identification and classification. The basic mathematical models of a single receiver radar and a radar that operates as an interfero...

This paper addresses the problems of planning and control of the on-orbit maneuvering of large and highly flexible structures by free-flying robots. An approach is proposed where the robots use their thrusters to control the “rigid body” motion of the robot-structure system being transported and their manipulators to control and damp out vibration in the structure induced by the thruster firing...

Robustness estimation is important issue to ensure stability, reliability, and precision of Wireless MEMS vibration test under harsh environment stressing. Although the robustness of vibration test is limited mainly by the embedded electronics and sensors, how to obtain precise and robust data by using energy effective and resources constrained wireless sensor nodes is still a problem. Paper us...

Cascade-Correlation (CC) network is a new architecture and supervised learning algorithm for artificial neural networks. The learning algorithm of CC network and its network structure are described in this paper, the CC network with an excellent fitting ability is applied to fitting vibration characteristics of hydraulic turbine units according to different parts under three water heads. Compar...

A bio-inspired structural health monitoring (SHM) system based on multi-scale Sample Entropy (SampEn) is proposed in this paper. Recently, studies on entropy have shown that the healthy state of human can be evaluated by analyzing the measured electrocardiogram. As similar circumstance is also faced in the field of structural health monitoring, where the vibration signal of the structure can be...

A technique is presented for designing command profiles for flexible systems whose operational performance is restricted by a limit on actuator effort. To ensure maximum throughput, the command signal is restricted to a series of positive and negative pulses, whose amplitude is equal to the maximum actuator effort (torque limit). The command profiles are further required to move the system to a...

In this paper, the combination of RBF (Radial Basis Function) neural network and sliding mode control, which is used for vibration control, is examined. The approach is based on a sliding mode control methodology which drives the system towards a sliding surface by tuning the parameters of the controller using Gaussian radial basis function neural network. The input and output of RBF neural net...