The problem of high-precision attitude tracking is studied in this paper under model uncertainty and external disturbance risk. First of all, the kinematics and dynamics model of rigid body is derived based on the qua...
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Due to the restriction of the low-resolution systems and the interference of background clutter and environmental noise in the exploration process, the traditional classification and recognition algorithms of conventi...
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The establishment of a robust standard components database is essential in various industries to streamline product development and ensure quality. This paper presents a system for querying standard components data, l...
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The rapid growth of internet population poses a serious challenge to the security of internet resources. The security is directly affected by the hits of Denial of Services (DoS) attack which is rampant nowadays. With...
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The efficient combination of multiple functions through a single, planar and compact metastructure has become an emerging research area, offering the possibility to design and realize highly integrated and miniaturize...
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作者：
Liu, YangZhang, Jiaming
Seventh Research Division The Center for Information and Control School of Automation Science and Electrical Engineering Beijing100191 China
This article explores the distributed containment control problem for uncertain nonlinear multi-agent systems subject to external disturbances and input quantization, where the constant control gains and the upper bou...
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Class imbalance is a common characteristic of industrial data that adversely affects industrial data mining because it leads to the biased training of machine learning *** address this issue,the augmentation of sample...
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Class imbalance is a common characteristic of industrial data that adversely affects industrial data mining because it leads to the biased training of machine learning *** address this issue,the augmentation of samples in minority classes based on generative adversarial networks(GANs)has been demonstrated as an effective *** study proposes a novel GAN-based minority class augmentation approach named classifier-aided minority augmentation generative adversarial network(CMAGAN).In the CMAGAN framework,an outlier elimination strategy is first applied to each class to minimize the negative impacts of ***,a newly designed boundary-strengthening learning GAN(BSLGAN)is employed to generate additional samples for minority *** incorporating a supplementary classifier and innovative training mechanisms,the BSLGAN focuses on learning the distribution of samples near classification ***,it can fully capture the characteristics of the target class and generate highly realistic samples with clear ***,the new samples are filtered based on the Mahalanobis distance to ensure that they are within the desired *** evaluate the effectiveness of the proposed approach,CMAGAN was used to solve the class imbalance problem in eight real-world fault-prediction *** performance of CMAGAN was compared with that of seven other algorithms,including state-of-the-art GAN-based methods,and the results indicated that CMAGAN could provide higher-quality augmented results.
To meet the challenges posed by global arsenic water contamination, the Mg Al Mn-LDHs with extraordinary efficiency of arsenate removal was developed. In order to clarify the enhancement effect of the doped-Mn on the ...
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To meet the challenges posed by global arsenic water contamination, the Mg Al Mn-LDHs with extraordinary efficiency of arsenate removal was developed. In order to clarify the enhancement effect of the doped-Mn on the arsenate removal performance of the LDHs, the cluster models of the Mg Al Mn-LDHs and Mg Al-LDHs were established and calculated by using density functional theory(DFT). The results shown that the doped-Mn can significantly change the electronic structure of the LDHs and improve its chemical activity. Compared with the Mg Al-LDHs that without the doped-Mn, the HOMO-LUMO gap was smaller after doping. In addition, the-OH and Al on the laminates were also activated to improve the adsorption property of the LDHs. Besides, the doped-Mn existed as a novel active site. On the other hand, the Mg Al Mn-LDHs with the doped-Mn, the increased of the binding energy, as well as the decreased of the ion exchange energy of interlayer Cl^(-), making the ability to arsenate removal had been considerably elevated than the Mg Al-LDHs. Furthermore, there is an obvious coordination covalent bond between arsenate and the laminates of the Mg Al MnLDHs that with the doped-Mn.
Floating offshore wind turbines (FOWTs) hold significant potential for developing wind energy in deep-sea areas. However, they are prone to additional motions, heavy workloads, and undesirable fluctuations under combi...
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Aiming at the dynamic modeling and control of actuator system under the influence of nonlinear conditions such as clearance and friction, compared with the conventional nonlinear model, the variable stiffness and wear...
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