INTELLIGENT ROBUST MOTION CONTROL OF AERIAL ROBOT

Intelligent Robust Motion Control of Aerial Robot

This study presents the design of an intelligent robust controller for the 3-degree-of-freedom motion of an aerial robot using waterpower.The proposed controller consists of two parts: (1) an anti-windup super-twisting algorithm that provides stability to the system under actuator saturation; and (2) a fully adaptive radial basis function neural ne

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A nonlilear controller for ship autopilots

childrens hats Conventional ship autopilots are designed based on a linear ship model using pole - placement technique or linear optimal theory.However, in operation, the ship kinematical parameters can go out the linear limits.In this paper, a nonlinear optimal control law based on aggregated variables is presented.The criterion is chosen so that

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Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery

The microtopography associated with ice-wedge polygons governs many aspects of Arctic ecosystem, permafrost, and hydrologic dynamics from local to regional scales owing to the linkages between microtopography and the flow and storage of water, vegetation succession, and permafrost dynamics.Wide-spread ice-wedge degradation is transforming low-cente

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