In this work, the differential flatness property and the sliding mode controller design are proposed for a quadrotor in order to track a predefined reference trajectory despite the presence of uncertain parameters. Fi...
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ISBN:
(纸本)9781538654088
In this work, the differential flatness property and the sliding mode controller design are proposed for a quadrotor in order to track a predefined reference trajectory despite the presence of uncertain parameters. Firstly, differential flatness is utilized to resolve the problem for trajectory generation and tracking for the quadrotor. Next, a sliding controller is combined with a flatness design to guarantee the robustness of the tracking strategy. The numerical simulations of quadrotor system are done in order to evaluate the performance of the suggested control scheme.
Radio Frequency IDentification (RFID) was identified as one of the ten best technologies in the 21st century. This technology is frequently used in different sectors: industrial, agricultural and academic. In RFID net...
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To reduce the power consumption, in the literature, most works have focused in the field of batteries. However despite the progress made in this area, it is difficult to increase the battery capacity without increasin...
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This work proposes an optimal trajectory generation and a controller design for a mobile robot. The objective consists of creating a new performance guidance module for the mobile robot in a closed environment. The re...
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作者：
Rahma KalboussiAymen AzazaMehrez AbdellaouiAli DouikENISO
Ecole Nationale d'Ingénieurs de Sousse NOCCS Networked Objects Control and Communication Systems Laboratory Soussel Tunisiay ENIM
Ecole Nationale d'Ingénieurs de Monastir NOCCS Laboratory Monastir Tunisia ENISO
NOCCS Laboratory Sousse Tunisia
In the last decades, saliency detection was extensively studied. The number of computational models that help to detect salient regions in still images is increasing, whereas, detecting salient regions in videos is in...
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In the last decades, saliency detection was extensively studied. The number of computational models that help to detect salient regions in still images is increasing, whereas, detecting salient regions in videos is in its early stages. In this paper we propose a video saliency detection method using local motion estimation. Starting from a patch, the problem of saliency detection is modeled as a growing region starting from a region which contains the higher motion information to the background. Local saliency is measured by combining local motion estimation and local surrounding contrast which leads to the construction of foreground and background patches. Experiments have proved that The proposed method outperforms state-of-the-art methods over two benchmark datasets.
A multi-carpooling model is proposed for the multi-vehicle carpooling problem in distributed parallel computing environment. A two-stage stochastic optimization of the estimation of distribution algorithm solves the o...
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ISBN:
(纸本)9781509016990
A multi-carpooling model is proposed for the multi-vehicle carpooling problem in distributed parallel computing environment. A two-stage stochastic optimization of the estimation of distribution algorithm solves the optimum of the multi-carpooling problem with a carpooling probabilistic matrix. A ridable matrix initiates the carpooling probabilistic matrix, and the carpooling probabilistic matrix continues updating during the optimization. The carpooling model mines efficient and compromised ridesharing routes for shared riders by the optimization iterations. Experimental results indicate that the carpooling model has the characteristics of effective and efficient traffic including shorter waiting time, more passenger load, and less average riding distance.
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