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Zhibin Hu,Jun Hu,Junhua Du,Hongjian Liu,Jun Qi 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.10
This paper investigates the optimized distributed fusion filtering (DFF) problem for a class of nonlinear discrete time-varying stochastic systems with randomly occurring uncertainty (ROU) and missing measurements (MMs). The stochastic nonlinearity is depicted in terms of statistical means. The phenomena of the ROU and MMs are considered during the modelling of state equation and measurement output respectively, which are characterized by Bernoulli distributed random variables. In order to deal with the effect of the parameter uncertainty, the method that the local estimation error covariances and cross-covariances from all estimators at every sample time are replaced by their upper bounds is adopted. Moreover, the minimum upper bounds for each filtering error covariance (FEC) are obtained by designing the corresponding filter gains. Based on the local filters, a new robust DFF algorithm is developed via the matrix-weighted fusion method. In addition, a sufficient condition concerning on the performance analysis of the developed algorithm is given, which can show that the boundedness of the upper bound for each FEC is guaranteed. Finally, a numerical example is provided to manifest the usefulness of the developed distributed fusion algorithm.
Fuel Economy Analysis of a Series Hybrid Electric Bus with Low-Speed Shutdown Control Strategy
Xiaogang Wu,Han Chen,Jiuyu Du,Chen Hu 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.10
The series hybrid electric bus that is demonstrated operating in China has the problem of non-ideal fuel economy for the conventional auxiliary equipment can’t shut down the engine. Based on the series hybrid electric bus using electric auxiliary equipment, a control strategy is proposed based on the combination of engine low-speed shutdown and load following. The main control variables are battery SOC and vehicle speed, and the engine low-speed shutdown is realized. Three different driving cycles are employed: Chinese city driving cycle, Zhuzhou city of Hunan province driving cycle, and Hefei city of Anhui province driving cycle. By using the analysis method of the energy flow diagram, the fuel economy in different driving cycles is compared and analyzed. The simulation results show that the control strategy of the engine low-speed shutdown affects little on fuel economy in different driving cycles. All the fuel-saving ratios of the series hybrid system in different driving cycles can reach above 25%.
Large magnetocaloric effect with a wide temperature range in Gd5Si4
Hu Pengqiang,Zhang Zhengming,Zhang Fangxian,Guan Weizheng,Wang Dunhui,Du Youwei 한국물리학회 2022 Current Applied Physics Vol.34 No.-
Gd5Si4 magnets have attracted much attention due to their many appealing properties such as strong ferromagnetism, magnetovolume effect, and large reversal magnetocaloric effect (MCE). However, Gd5Si4 exhibits a relatively high Curie temperature (TC ~336 K) with a narrow refrigeration temperature span, which limits the refrigeration application at room temperature. Here we show that the TC of Gd5Si4 can be reduced to 330 K and the phase transition temperature range can be effectively expanded by applying a high pressure of 6 GPa to the sample during heat treatment. In addition, the room-temperature magnetic entropy changes are improved and the refrigeration temperature span also becomes wider, which leads to an enhanced relative cooling power (RCP) of 748 Jkg-1 under a magnetic field change of 5 T. These unique features indicate that the Gd5Si4 compound prepared under high pressure can serve as a magnetic refrigerant in a wide temperature range covering room temperature.
Hu, Yan-Xia,Li, Min,Jia, Xiao-Hui,Du, Qu-Xiao,Miao, Feng-Tai,Yao, Li,Shen, Ji-Duo Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12
There is increasing evidence that natural killer (NK) cells play an important role in antitumor immunity following dendritic cell (DC) vaccination. Little is known, however, about the optimal stimulation of DCs by epitopes and NK interactions for cytotoxicity in tumors. In this study, DC cells activated by the HPV16E7.49-57 epitope and LPS were co-cultured with NK cells in vitro, and then used ot immunize mice to study CTL activity of TC-1, which constitutively expresses HPV16E6E7, with an LDH release assay. Cytotoxicity in mice immunized with DC loaded with epitope HPVE7.49-57 vaccine co-cultured with NK was enhanced significantly (p<0.01). In conclusion, talk-across between DC and NK cells enhances their functions, also improving cytotoxicity againsttumor cells, suggesting that activated DC-NK by epitopes has potential application for cancer-specific immuno-cellular therapy.
Hu, Pengfei,Liang, Yiqiao,Du, Yi,Bi, Renming,Rao, Chonglin,Han, Yang The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.2
This paper introduces the development of a de-icer based on a full-bridge modular multilevel converter (FMMC). The FMMC can generate a wide range of DC voltages owing to its modularity, scalability, and redundancy, which makes it suitable for ice-melting applications. First, operating principles and voltage ranges are analyzed when FMMC is applied as a mobile de-icer. Second, two new startup strategies, constant modulation index and constant power startup strategies, are proposed. Third, the main control strategies of the de-icer are proposed. Fourth, a novel rated-current zero-power test scheme is proposed to simplify test conditions. Finally, a 10 kV 1.5 kA mobile MMC de-icer is designed and built, and experiments are carried out to validate the proposed startup, control strategies, and rated-current zero-power test scheme.
Hu, H.,Du, J.,Xu, N.,Jeong, H.,Wang, X. BUTTERWORTH-HEINEMANN 2017 NDT AND E INTERNATIONAL Vol.90 No.-
<P>This paper introduces a sparse total focus method (TFM) as a viable solution to the trade-off between the imaging precision and computational efficiency. A corrected two-layer TFM algorithm is first established; then the element layout in the sparse arrays is optimized by the genetic algorithm to improve the spatial resolution and contrast resolution. Using the effective aperture theory, the weighting functions of the optimized sparse array elements are investigated, and the corrected sparse-TFM algorithm is developed. Experiments are conducted on the side-drilled holes in a wedged specimen. Results indicate that the proposed sparse-TFM can greatly increase the computational efficiency while maintaining a relatively low error.</P>