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Bochi Guo, Yu Liu, Hui Zhou, Wei Yan and Shuanggen Zhang
Automatic modulation recognition (AMR) provides excellent performance advantages over conventional algorithms and plays a key role in modern communication. However, a general challenge is that the channel errors greatly deteriorate the classification cap...
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Tayyab Manzoor, Hailong Pei, Zhongqi Sun and Zihuan Cheng
This paper proposes a model predictive control (MPC) approach for ducted fan aerial robots using physics-informed machine learning (ML), where the task is to fully exploit the capabilities of the predictive control design with an accurate dynamic model b...
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Juan D. Borrero and Jesus Mariscal
Efforts across diverse domains like economics, energy, and agronomy have focused on developing predictive models for time series data. A spectrum of techniques, spanning from elementary linear models to intricate neural networks and machine learning algo...
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Xinyuan Miao, Lin Cheng, Yu Song, Junfeng Li and Shengping Gong
With the deepening of planetary exploration, rapid decision making and descent trajectory planning capabilities are needed to cope with uncertain environmental disturbances and possible faults during planetary landings. In this article, a novel decouplin...
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Jiyu Xia and Zhou Zhou
The transition flight of tilt-propulsion UAV is a complex and time-varying process, which leads to great challenges in the design of a stable and robust controller. This work presents a unified model predictive controller, which can handle the full envel...
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Zhiliang Kang, Jinping Geng, Rongsheng Fan, Yan Hu, Jie Sun, Youli Wu, Lijia Xu and Cheng Liu
The dry matter test of mango has important practical significance for the quality classification of mango. Most of the common fruit and vegetable quality nondestructive testing methods based on fluorescence hyperspectral imaging technology use a single a...
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Margarita Razgon and Alireza Mousavi
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Laura Cutroneo, Gabriele Ferretti, Simone Barani, Davide Scafidi, Francesco De Leo, Giovanni Besio and Marco Capello
Microseisms are used to estimate significant sea wave heights (Hs) in different parts of the world and also during extreme events (e.g., typhoons and hurricanes), as they are generated by the effect of sea waves on the sea bottom and are strictly related...
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Leo S. Carlsson, Mikael Vejdemo-Johansson, Gunnar Carlsson and Pär G. Jönsson
Predictive models are used in many different fields of science and engineering and are always prone to make faulty predictions. These faulty predictions can be more or less malignant depending on the model application. We describe fibers of failure (FiFa...
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Antoni Escobet, Teresa Escobet, Joseba Quevedo and Adoración Molina
This paper proposes a sensor-data-driven prognosis approach for the predictive maintenance of a liquefied natural gas (LNG) satellite plant. By using data analytics of sensors installed in the satellite plants, it is possible to predict the remaining tim...
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