No abstract

No abstract

In this chapter an adaptive anti-sway controller for uncertain overhead cranes is proposed. The system model including the system uncertainties and disturbances is introduced firstly. Next, the adaptive controller which can guarantee tracking the desired position of the trolley as well as the anti-sway of the load cable is established. In this chapter, the system is proven to be input-to-state stable (ISS) which is supported by Lyapunov technique. The proposed algorithm is verified by using Matlab/Simulink simulation tool. The simulation results shown that the presented controller gives the good performances (i.e., fast transient response, position tracking, and low swing angle) when there exist system parameters variation as well as input disturbances.

This paper proposes a signal processing approach based on principal component analysis (PCA) for monitoring heart rate using an ultra-wideband impulse (UWB) radar. Vital signals including respiration and heart rate is measured by a UWB radar, and then compressed and projected on the main principal component. This projection helps to significantly improve the signal-to-noise ratio in comparison to other conventional methods such as direct fast Fourier transform and complex signal decomposition. Thus, an accurate measurement of heart rate can be obtained. The proposed approach can help improve about 10 dB of heartbeat signal.

Temperature-Salinity (T-S) data was analyzed from many investigations in northeast and southwest monsoon by lots of projects, which were surveyed at Khanh Hoa-Ca Mau sea region. The results showed that the variation of average temperature all domains in southwest monsoon is greater than in northeast monsoon at surface layer about 2.3°C, middle layer 1.2°C, and bottom layer 1.6°C. In addition, there are the same with variation of average salinity. Salinity in southwest monsoon is greater than in northeast monsoon at surface layer about 0.7‰, middle layer 0.3‰, and bottom layer 0.1‰. The seasonal variation of the two seasons has some common points, as temperature decrease steadily from south to north, salinity increase significant at bottom layer and maximum at 34.54‰. T-S variability in temporal and special scale is showed at three layers: T-S variability is small at the first layer (from surface to 10 m), is strong at the second layer (from 10m to 40m), and is quite stable at the third layer (from 40m to bottom).