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- 저자 : Yuhou Wu (검색결과 3 건)
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Demand‐based charging strategy for wireless rechargeable sensor networks
Ying Dong,Yuhou Wang,Shiyuan Li,Mengyao Cui,Hao Wu 한국전자통신연구원 2019 ETRI Journal Vol.41 No.3
A wireless power transfer technique can solve the power capacity problem in wireless rechargeable sensor networks (WRSNs). The charging strategy is a widespread research problem. In this paper, we propose a demand‐based charging strategy (DBCS) for WRSNs. We improved the charging programming in four ways: clustering method, selecting to‐be‐charged nodes, charging path, and charging schedule. First, we proposed a multipoint improved K‐means (MIKmeans) clustering algorithm to balance the energy consumption, which can group nodes based on location, residual energy, and historical contribution. Second, the dynamic selection algorithm for charging nodes (DSACN) was proposed to select on‐demand charging nodes. Third, we designed simulated annealing based on performance and efficiency (SABPE) to optimize the charging path for a mobile charging vehicle (MCV) and reduce the charging time. Last, we proposed the DBCS to enhance the efficiency of the MCV. Simulations reveal that the strategy can achieve better performance in terms of reducing the charging path, thus increasing communication effectiveness and residual energy utility.
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Leader-following Consensus of First-order Multi-agent Systems with Dynamic Hybrid Quantizer
Huaitao Shi,Maxiao Hou,Yuhou Wu,Jin Guo,Dakuo Feng 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.11
In this paper, we propose a dynamic hybrid quantizer to reduce the burden of communication networks and on this basis, the leader-following consensus problem of first-order multi-agent systems is solved. This dynamic hybrid quantizer not only overcome the two disadvantages of the static quantizer: fixed quantization interval and infinite quantization level, but also reduce quantization error compared with dynamic uniform quantizer. Therefore, it can make the acceptable quantization errors for better system performance. Finally, the effectiveness of our approach is illustrated by theoretical derivation and numerical examples.
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Incipient Fault Detection of Full Ceramic Ball Bearing Based on Modified Observer
Huaitao Shi,Maxiao Hou,Yuhou Wu,Baicheng Li 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.3
As a key part of the energy transmission chain, full ceramic ball bearing elements are considered as important components in ultraprecise rotating machines, which is required as a special attention in order to avoid expensive production shutdown due to the appearance of massive failures. Therefore, it is necessary to detect the appearance of incipient faults for full ceramic ball bearing elements by implementing an appropriate model. In this paper, an observer-based incipient fault detection method for full ceramic ball bearings is proposed. Firstly, the mechanism model of full ceramic ball bearing with incipient faults is established, and it is converted into a discrete-time model based on the zero-order hold equivalent method. Secondly, a modified observer is proposed as a residual generator, which has more design degrees of the freedom than the Luenberger observer. Thirdly, the l1/H∞ performance is introduced to enhance the disturbance robustness and incipient fault sensitivity. In addition, the design of an adaptive threshold can effectively avoid fault false alarms. Finally, the effectiveness of the proposed method is verified by numerical simulation.
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