Model predictive current control(MPCC) is widely applied in electrical drives and power electronics because of its simplicity and ***,steady-state errors are always present because of the inaccurate prediction induced...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
Model predictive current control(MPCC) is widely applied in electrical drives and power electronics because of its simplicity and ***,steady-state errors are always present because of the inaccurate prediction induced by changing actual *** paper proposes a simple strategy for improving MPCC performance,which reduces steadystate errors and eliminates the additional prediction *** cost function,which is made up of tracking mistakes,is used in MPCC to choose the best switching *** paper introduces a new cost function that also includes actual current *** is a coefficient of actual current errors that enhances the appropriateness of permanent magnet synchronous motor(PMSM) *** results show superior performance of the proposed MPCC to that of conventional MPCC.
The inter-class similarity of facial expressions is one of the key challenges in Facial Expression Recognition(FER).In this manuscript,a Latent Facial Action Units Network(LAUNet) is proposed for the problem of inter-...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
The inter-class similarity of facial expressions is one of the key challenges in Facial Expression Recognition(FER).In this manuscript,a Latent Facial Action Units Network(LAUNet) is proposed for the problem of inter-class similarity of facial expressions in *** proposed method recognizes subtle differences between facial expressions by learning Latent Facial Action Units Features(LAUFs).Specifically,LAUNet is composed of two parts:the Latent Facial Action Units Features Extraction Network(LEN) and the Latent Facial Action Units Selection Network(LSN).Firstly,LEN extracts LAUFs from the feature map of the backbone using the spatial attention ***,taking advantage of the channel attention mechanism,LSN captures the latent relationships between features from LAUFs to select effective features for *** are performed on the dataset after removing the invalid data of non-face images from the original FER2013 *** with some previous state-of-the-art methods,LAUNet achieves the highest accuracy rate of 71.31%.Depending on the backbone,LAUNet can improve the accuracy by up to 5.46% compared to the original architecture of the backbone.
The last decade has witnessed the emergence of hydrovoltaic technology,which can harvest electricity from different forms of water movement,such as raindrops,waves,flows,moisture,and natural *** particular,the evapora...
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The last decade has witnessed the emergence of hydrovoltaic technology,which can harvest electricity from different forms of water movement,such as raindrops,waves,flows,moisture,and natural *** particular,the evaporation-induced hydrovoltaic effect received great attention since its discovery in 2017 due to its negative heat emission ***,the influence of electrode reactions in evaporation-induced power generation is not negligible due to the chemical reaction between active metal electrodes and water,which leads to“exceptional”power ***,we designed a series of experiments based on air-laid paper devices with electrodes of different activities as the top and bottom *** verify the contribution of electrodes,we compared the output performance of different electrode combinations when the device was partially-wetted and *** device hydrophilicity,salt concentration,and acidity or basicity of solutions were also comprehensively *** is demonstrated that the chemical reaction of active metals(Zn,Cu,Ag,etc.)with different aqueous solutions can generate considerable electrical energy and significantly distort the device performance,especially for Zn electrodes with an output voltage from~1.26 to~1.52 V and current from~1.24 to~75.69μ*** promote the long-term development of hydrovoltaic technology,we recommend use of inert electrodes in hydrovoltaic studies,such as Au and Pt,especially in water and moisture environment.
This article studies the problem of structure-free distributed containment control for uncertain underactuated multiple Euler-Lagrange systems(MELSs) considering disturbances by using a layered approach. First, the se...
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This article studies the problem of structure-free distributed containment control for uncertain underactuated multiple Euler-Lagrange systems(MELSs) considering disturbances by using a layered approach. First, the second layer is the virtual layer constructed artificially for hierarchical control. We move all virtual nodes to the convex hull formed by leaders in the first layer by implementing containment control algorithms on all virtual nodes. Then, the third layer is the following layer, and we propose an adaptive robust tracking controller to ensure that each follower in the third layer tracks the corresponding virtual node in the second layer. So far, the underactuated MELSs can achieve containment control. Furthermore,through the theoretical derivation, sufficient conditions are obtained to achieve the objective of structure-free containment control. Finally, the effectiveness of the proposed stratified structure-free containment control method is verified by a simulation example.
In one-stage methods for video moment retrieval,the common representations indirectly supervised by boundary prediction fail to fully preserve the inherent characteristic of the video and query,which limits the retrie...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In one-stage methods for video moment retrieval,the common representations indirectly supervised by boundary prediction fail to fully preserve the inherent characteristic of the video and query,which limits the retrieval *** solve this problem,an Adversarial Video Moment Retrieval(AVMR) algorithm is proposed to learn the common representations with modality invariance and cross-modal *** is implemented through the process of adversarial learning between a feature projector and a modality *** feature projector tries to generate a modality-invariant common representation and to confuse the modality *** modality classifier tries to discriminate between different modalities based on the generated representation by the feature *** triplet constraints are further imposed on the feature projector to preserve the underlying cross-modal semantic structure of *** experimental results show that AVMR surpasses the baseline Attentive Cross-modal Relevance Matching(ACRM) by 1.10% and 1.73% in the "mIoU" metric on two public datasets Charades-STA and TACoS,respectively.
From Qiang Xuesen[1],to Guan Zhaozhi[2],and finally to Han Jingqing[3],active disturbance rejection control(ADRC)arose from their unwavering conviction that theory must be connected to practice,and that control theory...
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From Qiang Xuesen[1],to Guan Zhaozhi[2],and finally to Han Jingqing[3],active disturbance rejection control(ADRC)arose from their unwavering conviction that theory must be connected to practice,and that control theory of any practical significance must not simply be a branch of mathematics,predicated on accurate mathematical model of physical *** is their vision and wisdom that have guided us through difficult times.
The growing adoption of electric vehicles and dynamic wireless charging has strengthened the spatiotemporal interconnection between the transportation network (TN) and the microgrid (MG). This paper presents an optima...
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To address the challenges of high equipment demands, low detection accuracy, and high miss rates for overlapping and small targets in traditional road target detection models, we propose an improved detection method n...
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Surface defect detection is of great significance as a tool to ensure the quality of steel pipes. The surface defects of steel pipes are charactered by insufficient texture, high similarity between different types of ...
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With the advancement of warehousing technology, the allocation of multiple tasks in multi-AGV systems has become an important factor in order to decrease task completion time in the warehouse. This paper develops a mu...
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