The increasing need for functionality and portability in consumer electronics is pushing the microelectronics industry to develop more effective interconnection techniques. This has resulted in the birth of 3D stackin...
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The increasing need for functionality and portability in consumer electronics is pushing the microelectronics industry to develop more effective interconnection techniques. This has resulted in the birth of 3D stacking of chips, which is achieved by the use of TSV (Through-Silicon-Via) technology. This paper puts forward a TSV simulator, FASTsv (Fast and Accurate Simulator of TSV: FASTsv). The key technologies in TSV process include DRIE (deep reactive ion etching) and PECVD (plasma-enhanced chemical vapor deposition) processes. Based on experimental results and theoretical analysis, the modeling of DRIE and PECVD processes are developed. Experimental tests are performed to verify the TSV simulator. The simulation results agree with experimental results very well.
The control of a snake-like robot is a challenging problem because of unknown environments and complex dynamics. We have proposed an energy-based method, called passive creeping, to control the serpentine locomotion. ...
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The control of a snake-like robot is a challenging problem because of unknown environments and complex dynamics. We have proposed an energy-based method, called passive creeping, to control the serpentine locomotion. In the paper, we present a hypothesis that the energy state of the robot can influence the locomotor adaptation. And then we lay emphasis on experiments in order to test the hypothesis and validate the passive creeping. A locomotion experiment and a drag experiment demonstrate the adaptability of the passive creeping to variable environments and different dynamics (or payloads), respectively. In the experiments, an optical motion capture system is used to obtain the kinetic energy information of the snake-like robot in real time.
Based on the performance of magnetorheological damper we have developed,a tremor suppression method using human limb nonrigid characteristic was *** tremor suppression machine was designed,and the measure part and the...
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Based on the performance of magnetorheological damper we have developed,a tremor suppression method using human limb nonrigid characteristic was *** tremor suppression machine was designed,and the measure part and the tremor suppression part were ***,the mathematic models of fuzzy neural network and elbow nonrigid tremor were worked *** selected training data set,the off-line fuzzy neural network training was *** the tremor suppression method was simulated in *** the simulation results,it is found that the tremor suppression method has presented suppresses tremor effectively,and the tremor amplitude and tremor suppression torque can be controlled with angle displacement sensor.
This paper investigates a behavior-based control system for an autonomous underwater vehicle (AUV) to adaptively map a turbulent plume. The objective of this paper is to describe and verify the control system develope...
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This paper investigates a behavior-based control system for an autonomous underwater vehicle (AUV) to adaptively map a turbulent plume. The objective of this paper is to describe and verify the control system developed in a simulation environment, which aims to apply it for adaptively mapping deep-sea hydrothermal non-buoyant plume. The proposed behavior-based control system is implemented on an AUV to perform in-water tests. The successful field experiments demonstrate that the control system effectively navigates the AUV to map a rhodamine plume developed in near-shore ocean environment.
Human upright postural control is highly related to visual information. In order to investigate the influence of visual feedback on static upright postural control, postural sway of eight healthy adults was investigat...
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The H ∞ filtering problem is considered for a class of nonlinear discrete-time systems for which a novel solution is developed by embedding the unscented transform technique into the extended H ∞ filter structure....
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The H ∞ filtering problem is considered for a class of nonlinear discrete-time systems for which a novel solution is developed by embedding the unscented transform technique into the extended H ∞ filter structure. This article compares a Scale Unscented Transform H ∞ filter (SUT H ∞ - ) and UKF for the bearings-only tracking problem in Modified Polar Coordinates (MPC) and Cartesian coordinates (CC). Its objective is to track the kinematics (position, velocity) of a moving target using noise-corrupted bearing measurements. The SUT H ∞ - filter achieves higher accuracy and robustness against model uncertainty. Simulation results for the bearings-only tracking (BOT) are presented to illustrate that the MPC is better than CC in long distance.
Large load swing of a gantry crane, due to cable flexibility and rapid movement, needs to be controlled. Herein, a wave-based approach interprets the cable motion as two superposed traveling waves. To combine position...
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Large load swing of a gantry crane, due to cable flexibility and rapid movement, needs to be controlled. Herein, a wave-based approach interprets the cable motion as two superposed traveling waves. To combine position and active swing control, the trolley motion and load hoisting are carefully designed here, and a practical approach is adopted to design hoisting motions in the upward and downward manoeuvres, counteracting their reverse effects on the load swing. A robust control algorithm, based on the model of the crane system, is proposed to realize the trolley and hoisting motions, allowing for load variations and parameter uncertainties. This new solution to motion control of a gantry crane works very well, and is stable and adaptive to large load variations. As demonstrated in the simulation experiments, it lands the load rapidly and exactly at target and stops it dead, with nearly zero swing.
This paper introduces networked tank gunnery skill training based on haptic interaction. "Hand in hand" training mode is implemented by constructing a networked haptic display system. A teacher and a tra...
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This paper introduces networked tank gunnery skill training based on haptic interaction. "Hand in hand" training mode is implemented by constructing a networked haptic display system. A teacher and a trainee can respectively manipulate his own haptic device to realize skill transferring. In this process, the trainee can experience the teacher's motor skill and can be corrected by the teacher. A local network is built to connect two haptic devices and computers. Two modes for tank gunnery skill training are designed in this system: haptic guidance and real-time correction. A prototype system is established to testify the effectiveness of such a new type "Hand in hand" training system.
Human upright postural control is highly related to visual information. In order to investigate the influence of visual feedback on static upright postural control, postural sway of eight healthy adults was investigat...
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Human upright postural control is highly related to visual information. In order to investigate the influence of visual feedback on static upright postural control, postural sway of eight healthy adults was investigated under visual feedback circumstances. In the investigation, postural feedback information was visualized by an indicator composed of a movable spot and a stationary circle, and postural control of subjects was inspected both in time domain and frequency domain. The experiment results indicate that reduction of the visual feedback indicator scale inspires a postural power shift to the higher frequencies, and this reduction also induces a fall-after-rise pattern of postural energy distribution in the frequency range of 0.5~1 Hz.
This paper presents a novel unscented Kalman filter (UKF) used for navigation of Human Occupied Vehicle (HOV) based directly on the nonlinear sensor readings of an Ultra-short Baseline (USBL), a Doppler Velocity Log (...
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ISBN:
(纸本)9781457714276
This paper presents a novel unscented Kalman filter (UKF) used for navigation of Human Occupied Vehicle (HOV) based directly on the nonlinear sensor readings of an Ultra-short Baseline (USBL), a Doppler Velocity Log (DVL), a fiber optic gyrometer and a depth sensor. The HOV motion and the USBL observations are highly non-linear processes which contain unknown noise. A UKF is therefore chosen as a suitable data fusion technique. For the low rate positional measurements of USBL and the drift error of the DVL, the presented UKF fuses the information from these sensors to produce a more accurate estimate of three-dimensional position, orientation (heading), and velocity of the HOV. MATLAB simulations conducted with respect to the data obtained from previous sea trial illustrate the effectiveness of our proposed method.
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