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In this paper, a robust adaptive sliding mode controller is proposed for a class of uncertain nonlinear multi-input multi-output (MIMO) systems. The upper bounds of the uncertainties are not needed in the procedure of the controller design, and the controller is continuous and guarantees the tracking error can converge to a small residual set. Furthermore, the size of the tracking error at steady...
Background reconstruction plays an important role in many applications like video surveillance, motion analysis. Traditional Adaptive Gaussian Mixture Model will lose target when deal with arbitrary-long stationary object. In this paper, a novel method for detecting this kind of object is proposed to improve the performance of Adaptive Gaussian Mixture Model. Parameter restoration is designed to deal...
This paper deals with a complete method to locate the ellipse center based on the maximum inscribed circle, in order to meet the need of location of ellipse centers in the industrial machine vision inspection. In this paper, an improved Hough transform is used to locate the ellipse center rapidly. Meanwhile, the center of the inscribed circle can be regarded as the target coordinate of the ellipse...
In order to estimate the state of uncertain models, a robust filter based on risk sensitive estimator is proposed, which could automatically change the state noise covariance according to the magnitude of the risk function. As a result, sample impoverishment could be mitigated. Another contribution of this paper is to take every sensor measurement into account, when large sample sets are needed to...
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