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Andréia Carpes Dani, Ilse Maria Beuren
Pág. 20 - 41
El estudio tiene como objetivo identificar cambios derivados de la convergencia contable a las normas internacionales de contabilidad en la Contraloría, en ella como órgano administrativo, en el papel del controller y en los sistemas de información ...
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Majid Aleyaasin
In this paper, the vibration control of the multivariable model of rotor bearing systems is considered for investigation. Some simply structured controllers that can suppress vibrational disturbances are tested for their robustness via the H8 optimality ...
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Lin Xu, Shanxiu Ma, Zhiyuan Shen and Ying Nan
The role of air traffic controllers is to direct and manage highly dynamic flights. Their work requires both efficiency and accuracy. Previous studies have shown that fatigue in air traffic controllers can impair their work ability and even threaten flig...
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Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang and Ying Nan
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machin...
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Rawan Alsheikh, Etimad Fadel and Nadine Akkari
A potential application of interest involves applications that can tolerate some level of inconsistency, such as routing or load-balancing applications.
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Péter Bauer and Mihály Nagy
Research and industrial application can require custom high-level controllers for industrial drones. Thus, this paper presents the high-fidelity dynamic and control model identification of the DJI M600 Pro hexacopter. This is a widely used multicopter in...
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Xing Yang, Bin Fu, Xiaochuan Ma, Yu Liu, Dongyu Yuan and Xintong Wu
The current paper verifies the asynchronous ??8
H
8
control and optimization problem for flight vehicles with a time-varying delay. The nonlinear dynamic model and Jacobian linearization establish the flight vehicle?s switched model. An asynchronous ??8...
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Juyao Wei, Zhenggang Lu, Zheng Yin and Zhipeng Jing
This paper presents a novel data-driven multiagent reinforcement learning (MARL) controller for enhancing the running stability of independently rotating wheels (IRW) and reducing wheel?rail wear. We base our active guidance controller on the multiagent ...
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Amalia Moutsopoulou, Markos Petousis, Georgios E. Stavroulakis, Anastasios Pouliezos and Nectarios Vidakis
In this study, we created an accurate model for a homogenous smart structure. After modeling multiplicative uncertainty, an ideal robust controller was designed using µ-synthesis and a reduced-order H-infinity Feedback Optimal Output (Hifoo) controller, ...
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Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
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