Position control of a planar single-link flexible-link manipulator always faces huge challenges due to the underactuated characteristic of the system and the vibration of the flexible link. Since the system state vari...
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Position control of a planar single-link flexible-link manipulator always faces huge challenges due to the underactuated characteristic of the system and the vibration of the flexible link. Since the system state variables related to the vibration is underactuated, this paper considers enhancing the dynamic coupling of this system. An enhanced dynamic coupling model is established by making equivalent transformation for the real dynamic model of the system. This enhanced dynamic coupling model makes the vibration variables appear as active variables in the proposed energy-based controller. Therefore, the proposed controller achieves good vibration suppression effect. The stability analysis is presented to prove that the proposed controller can effectively achieve the position control objective, and the simulation results further demonstrate the superiority of the proposed control method.
Quantum dots dye-sensitized solar cells (QDSSC) has emerged as a highly promising photovoltaic technology for next-generation solar cells due to the distinct optoelectronics features of quantum dots (QDs) light-harves...
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ISBN:
(数字)9781728159683
ISBN:
(纸本)9781728159690
Quantum dots dye-sensitized solar cells (QDSSC) has emerged as a highly promising photovoltaic technology for next-generation solar cells due to the distinct optoelectronics features of quantum dots (QDs) light-harvesting materials such as high absorption coefficient, multiple exciton generation possibility and easily tunable absorption range that can deliver both low production costs. TiO 2 is currently the conventional electron transport material (ETM) used in dye sensitized solar cell (DSSC) but incur high cost and high-temperature processing. Zinc oxide (ZnO) is identified as a low-cost material with higher electron mobility than TiO2 for efficient electron extraction. Furthermore, solution-process able ZnO quantum dots (QDs) allow manipulation of quantum confinement, light scattering and energy band alignment to improve charge extraction. ZnO QDs were synthesised using a self-assembly method of zinc acetate dihydrate solution with potassium hydroxide (KOH) solution and deposited on the Indium Tin Oxide (ITO) glass substrate by using spin coater (200-1500 rpm) for 20 seconds. Afterward, annealed for 5 hours in the furnace at temperatures of 450 ° C. In the characterization the solar cell used X-Ray Diffraction (XRD), UV-Visible spectroscopy, and Scanning Electron Microscope (SEM).
Background Diarrhoeal diseases claim more than 1 million lives annually and are a leading cause of death in children younger than 5 years. Comprehensive global estimates of the diarrhoeal disease burden for specific a...
Background Diarrhoeal diseases claim more than 1 million lives annually and are a leading cause of death in children younger than 5 years. Comprehensive global estimates of the diarrhoeal disease burden for specific age groups of children younger than 5 years are scarce, and the burden in children older than 5 years and in adults is also understudied. We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to assess the burden of, and trends in, diarrhoeal diseases overall and attributable to 13 pathogens, as well as the contributions of associated risk factors, in children and adults in 204 countries and territories from 1990 to 2021. Methods We used the Cause of Death Ensemble modelling strategy to analyse vital registration data, verbal autopsy data, mortality surveillance data, and minimally invasive tissue sampling data. We used DisMod-MR (version 2.1), a Bayesian meta-regression tool, to analyse incidence and prevalence data identified via systematic reviews, population-based surveys, and claims and inpatient data. We calculated diarrhoeal disability-adjusted life-years (DALYs) as the sum of years of life lost (YLLs) and years lived with disability (YLDs) for each location, year, and age-sex group. For aetiology estimation, we used a counterfactual approach to quantify population-attributable fractions (PAFs). Additionally, we estimated the diarrhoeal disease burden attributable to the independent effects of risk factors using the comparative risk assessment framework. Findings In 2021, diarrhoeal diseases caused an estimated 1.17 million (95% uncertainty interval 0.793-1.62) deaths globally, representing a 60.3% (50.6-69.0) decrease since 1990 (2.93 million [2.31-3.73] deaths). The most pronounced decline was in children younger than 5 years, with a 79.2% (72.4-84.6) decrease in diarrhoeal deaths. Global YLLs also decreased substantially, from 186 million (147-221) in 1990 to 51.4 million (39.9-65.9) in 2021. In 2021, an esti
Human group activity represents a potentially valuable contextually relevant source of information, which can be analyzed to support diverse human-centric applications. In recent year, more and more sensors are being ...
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Mathematical models are instrumental to forecast the spread of pathogens and to evaluate the effectiveness of non-pharmaceutical measures. A plethora of optimal strategies has been recently developed to minimize eithe...
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This study considers the problem of periodic event-triggered (PET) cooperative output regulation for a class of linear multi-agent systems. The advantage of the PET output regulation is that the data transmission and ...
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Convolutional neural network-based broad learning with efficient incremental reconstruction model (CNNBL) is proposed to recognize emotions in human-robot interaction. It aims to extract deep and abstract features fro...
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Convolutional neural network-based broad learning with efficient incremental reconstruction model (CNNBL) is proposed to recognize emotions in human-robot interaction. It aims to extract deep and abstract features from facial emotional images, and reduce the influence of the complex structure and slow network updates on facial emotion recognition in deep learning. Feature extraction is carried out by convolution and maximum pooling, and then the ridge regression algorithm is used for emotion recognition. When the network needs to expand, the network is dynamically updated by incremental learning algorithm. We verified the experimental performance through k -fold cross validation. According to the recognition results, the accuracy on JAFFE database of our proposal is greater than that of the state of the art, such as the Local Binary Patterns with Softmax and Deep Attentive Multi-path convolutional neural network.
Slow-light devices are able to significantly enhance light-matter interaction due to the reduced group velocity of light, but a very low group velocity is usually achieved in a narrow bandwidth, accompanied by extreme...
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The purpose of this feasibility study was to assess a new image processing technology to detect γ-rays sources by using a cloud chamber. A simple cloud chamber was built to generate alcohol super saturation state. A ...
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In an oscillating water column (OWC) based wave energy plant, a bi-directional airflow is generated in the air chamber. To harness energy, the bi-directional airflow turbines that rotate in the same direction are used...
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