An indirect data-driven control and transfer learning approach based on a data-driven feedback linearization with neural canonical control structures is proposed. An artificial neural network auto-encoder structure tr...
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The increasing IT/OT-Security threat for industrial plants is leading to new regulations such as the EU Cyber Resiliance Act. At the same time, innovations such as flexible production systems are being driven forward,...
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In high-stress situations, guiding a non-communicating, location-unaware swarm to the safe area is challenging, especially as they self-organize into clusters with nearby agents. This paper presents a novel decentrali...
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In the Unmanned Aerial Vehicle (UAV) object detection task, small objects constitute a significant portion and are set against a complex environmental background, making feature extraction challenging. Classical detec...
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This study addresses the resilient sliding mode control(SMC) problem for two-dimensional cyber-physical systems(2D CPSs) characterized by the Roesser model under denial-of-service attack(DoSA), which can interfere wit...
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This study addresses the resilient sliding mode control(SMC) problem for two-dimensional cyber-physical systems(2D CPSs) characterized by the Roesser model under denial-of-service attack(DoSA), which can interfere with signal transmission over the communication network. First, the DoS-A model is established by introducing constraints on the Do S frequency and duration. Then, based on active or silent attack situations, the considered system is described as a switched mode. Furthermore, together with Lyapunov theory, the average dwell time technique is employed to deduce sufficient criteria that assure the existence of the desired sliding mode controller. Finally, verification examples are provided to show the validity of the established SMC scheme.
Aerial threat assessment is a crucial link in modern air combat, whose result counts a great deal for commanders to make decisions. With the consideration that the existing threat assessment methods have difficulties ...
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Aerial threat assessment is a crucial link in modern air combat, whose result counts a great deal for commanders to make decisions. With the consideration that the existing threat assessment methods have difficulties in dealing with high dimensional time series target data, a threat assessment method based on self-attention mechanism and gated recurrent unit(SAGRU) is proposed. Firstly, a threat feature system including air combat situations and capability features is established. Moreover, a data augmentation process based on fractional Fourier transform(FRFT) is applied to extract more valuable information from time series situation features. Furthermore, aiming to capture key characteristics of battlefield evolution, a bidirectional GRU and SA mechanisms are designed for enhanced ***, after the concatenation of the processed air combat situation and capability features, the target threat level will be predicted by fully connected neural layers and the softmax classifier. Finally, in order to validate this model, an air combat dataset generated by a combat simulation system is introduced for model training and testing. The comparison experiments show the proposed model has structural rationality and can perform threat assessment faster and more accurately than the other existing models based on deep learning.
The paper presents research on the accuracy of measuring illuminance and chromaticity of airport lamps. The impact of the type of DC and AC power supply on measurement was assessed with the use of electronic sensors. ...
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Task scheduling algorithms are key to research and practice in parallel testing techniques, especially in control system applications. The complexity of control system testing requires higher scheduling efficiency. Ho...
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作者：
Suder, JakubMarciniak, TomaszPoznan University of Technology
Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Poznań60-965 Poland
The paper presents an analysis of fast selection of neural network for the purpose of visual analysis of mechanical wear on prism lenses of in-pavement airport navigational lighting systems. This issue is particularly...
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Harry Theodor Nykvist was born on February 7, 1889 in Nilsby, a small village in Sweden. He was the fourth child among eight siblings. His father, Lars Jonsson Nykvist, was a shoemaker, his grandfather was a watchmake...
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Harry Theodor Nykvist was born on February 7, 1889 in Nilsby, a small village in Sweden. He was the fourth child among eight siblings. His father, Lars Jonsson Nykvist, was a shoemaker, his grandfather was a watchmaker. Nykvist was more interested in intellectual pursuits than working at a small farm. He was a very good student and his teacher contacted Harry’s parents and suggested that he should be encouraged to become a teacher. The social situation in Sweden at the time was such that there were few possibilities for a person from a poor family to study. His teacher proposed that Harry should emigrate to USA where he could realize his full potential. Nykvist took menial work on a farm and at a local sulphate factory to raise money for travel. In 1907 he left Sweden, landed in Boston, changed spelling of his family name to Nyquist. He traveled to Minneapolis where first worked at a livery stable and then at a farm to raise money for his studies. He enrolled in the Southern Minnesota Normal College in Austin, Minneapolis, where he met Antonia Wachlin and proposed to her. At the time they did not know that it would take eight years before they could marry. After one year he interrupted his studies and took a teaching job. He was persuaded to continue his studies to get a diploma for teaching in high school. He finished in 1911 as the valedictorian in his class. After teaching one year at Belgrade High School in Minnesota, he continued his academic career at the University of North Dakota (UND) in Grand Forks, North Dakota. He was very active in the Engineering Society and finished with BS and MS degrees in Electrical Engineering. Nyquist’s professors saw his academic potential and recommended him to apply for a scholarship at Yale University. He was accepted at Yale and finished a PhD in Physics in 1917 at the age of 28. The thesis topic was “On the Stark effect in helium and neon” [4] .
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