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Carlos Lassance, Vincent Gripon and Antonio Ortega
Deep Learning (DL) has attracted a lot of attention for its ability to reach state-of-the-art performance in many machine learning tasks. The core principle of DL methods consists of training composite architectures in an end-to-end fashion, where inputs...
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Najmeh Keshtkar and Klaus Röbenack
This paper develops the mathematical modeling and deflection control of a textile-reinforced composite integrated with shape memory actuators. The mathematical model of the system is derived using the identification method and an unstructured uncertainty...
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Yuxiang Ma and Yunhua Li
This paper deals with the robust control method for permanent magnet synchronous motor (PMSM) speed-regulation system based on active disturbance compensation. Different from the classical PMSM disturbance compensation scheme, a novel disturbance feed-fo...
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Jan Bielak, Maximilian Schmidt, Josef Hegger and Frank Jesse
With the innovative composite material carbon-reinforced concrete, thin-walled, high-performance components can be realized. A combination of carbon fiber reinforced polymer (CFRP) bars and non-metallic textile grids is advantageous as it exploits the fu...
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Anna Simonova
Pág. 618 - 623
This paper is intended to study the mechanism of strains and fractures emerging in pavement structures, give suggestions and recommendations to increase the robustness of different types of road pavements with the most appropriate design solutions. The s...
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