This paper reports an experimental investigation of the effect of two specific errors on a class of model based controllers for the low-speed maneuvering of fully actuated underwater vehicles. First, we review previously reported studies and a commonly accepted simplified plant model that has been experimentally validated for this class of vehicles. Second, we review a family of associated mode...

Typically, unmanned aerial vehicles are underactuated systems i.e., they have fewer independent control inputs than degrees of freedom. In a helicopter for example, the body-axis roll, pitch, yaw and altitude axis are fully actuated. However, lateral and longitudinal translational motion is only possible by tilting the thrust vector. This chapter develops a 6 degree-of-freedom flight control al...

Zanthoxylum bungeanum is widely cultivated, and some automatic picking systems or robots are researched to pick the pepper fruit instead of human hands. The detection algorithm very important an system. HSV color space used in image segmentation. There a fixed threshold based on space, there dynamic Otsu method after images converted into gray images, because popular for pictures. After evaluat...

In this paper, we describe the application of an adaptive fuzzy clustering algorithm to the segmentation of colour biomedical images. In comparison to traditional colour image segmentation algorithms, the advantage of this algorithm is intelligent location of a range of chosen colours (ROC) based on a manually selected reference colour. The colours within the ROC have similar colour properties ...

An adaptive amplitude normalized nonlinear gradient descent (AANNGD) algorithm for the class of nonlinear finite impulse response (FIR) adaptive filters (dynamical perceptron) is introduced. This is achieved by making the amplitude of the nonlinear activation function gradient adaptive. The proposed learning algorithm is suitable for processing of nonlinear and nonstationary signals with a larg...

We prove convergence and quasi-optimality of a lowest-order adaptive boundary element method for a weakly-singular integral equation in 2D. The adaptive meshrefinement is driven by the weighted-residual error estimator. By proving that this estimator is not only reliable, but under some regularity assumptions on the given data also efficient on locally refined meshes, we characterize the approx...

The essence of remote sensing resides in the acquisition of information about remote targets for further processing. As a high resolution microwave remote sensing instrument, the Synthetic Aperture Radar (SAR) has been more and more widely used. The data compression is one of the most important digital signal processing stage in remote sensing. The traditional compression algorithm is the Block...