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The global stabilization control problem is investigated for a class of cascaded nonholonomic systems with input-to-state practically stable (ISpS) unmodeled dynamics. The control gains are unknown time-varying functions. Using the state feedback, we propose a recursive controller design procedure. The small gain theorem is used to handle the unmeasured dynamic uncertainty in this process. In addition,...
We investigate the global robust tracking problem via output feedback for a class of nonlinear systems with dynamic uncertainties and nonvanishing nonlinear disturbances. The dead zone technique is applied to overcome the bursting phenomenon. A recursive design scheme is presented with the help of backstepping method. It is shown that under some assumptions, the tracking error can be guaranteed asymptotic...
Route prediction is important to analyzing and understanding the route patterns and behavior of traffic crowds. Its objective is to predict the most likely or "popular" route of road segments from a given point in a road network. This paper presents a hierarchical Bayesian non-parametric approach to efficient and scalable route prediction that can harness the wisdom of crowds of route planning...
In Copenhagen Climate Conference, all the members of this conference didn't reach consensus on the next ducting emission commitment deadline, however, reduction commitment deadline has important effects on the investment of low carbon industry. Our research is based on, Jiang Zhong-yi's optimal control theory model, we Introduce two variables, market basic interest rates and investor's time preferences...
In this paper, the state feedback stabilization problem is investigated for a class of nonlinear systems with iISS inverse dynamics and uncertain control coefficients. By the use of the backstepping control approach, a systematic controller design procedure is developed. The designed control law can guarantee that the system states are globally regulated to the origin and the other signals are bounded...
The traditional 1 dimension maximum between-class variance (1DMBV) method cannot obtain ideal threshold if the image has low SNR, while 2DMBV method can perform well even on the image with low SNR and low contrast, but with large computation. Some researchers combined the standard genetic algorithm with 2DMBV method (SGA-2DMBV), but it was premature and slowly convergent. In this paper, combined with...
The traditional 1 Dimension Maximum Between-class Variance (1DMBV) method cannot obtain ideal threshold if the image has low SNR, while 2DMBV method can perform well even on the image with low SNR and low contrast, but with large computation. Some researchers combined the Standard Genetic Algorithm with 2DMBV method (SGA-2DMBV), but it was premature and slowly convergent. In this paper, combined with...
According to the characteristics of retinal fundus images, one novel method of registration based on phase-correlation was proposed in this paper. This method takes advantage of optic disc to match two images coarsely. Meanwhile edge detection was applied to extract the edge of abundant retinal veins and arteries in order to raise the precision of registration. This method also overcomes the gray-sensitive...
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