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Constrained dynamic matrix control often needs to solve a nonlinear optimization problem with constraints. The traditional solution method is highly dependent on the prediction model and is easy to fall into the local minimum. To solve this problem, an improved differential evolution algorithm is applied to solve the optimal control law, and the optimization problem with constraints is dealt with...
Unmanned Underwater Vehicle(UUV) needs to keep its position and attitude steady when operating a near-surface task. However, the wave force and high damping characteristic brings great challenge to near-surface stabilization. To overcome these difficulties, firstly, we design a sliding mode controller with residuals to form a close-loop system driven by compensating error. Then, based on robust optimal...
The three-dimensional objects recognition has been the focus of research in computer vision, in which the 3D scanning system as the data acquisition means is the priority of research among priorities. In 3D scanning system, how to calculate the laser stripe center will directly affect the accuracy of three-dimensional reconstruction. By analyzing the distribution of the laser stripe images and drawing...
The fuzzy c-means (FCM) algorithm is one of the most widely used method for data clustering, the standard FCM is not effective by itself to segment the image, as it fails to deal with the significant property of images, such as noise and intensity inhomogeneity. In this paper, we propose a novel fuzzy c-means image segmentation algorithm. Its effectiveness is due to two mechanisms. The first mechanism...
The Chan-Vese level-set model reported by Chan-Vese for image segmentation has extensive applications in many fields, but also has some disadvantages such as the weak anti-noise. In this paper, a novel level-set model based on the parzen-window is presented. The evolution of the active contour in our level-set model neither depends on the gradient of the image nor the averages inside and outside the...
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