Protection Strategies for LVDC Distribution System by Satpathi, Kuntal, Ukil, Abishek

“…Since LV/MVDC power systems are still in preliminary stages, their modeling and fault analysis will help in addressing the requirements of various protection strategies. The system modeling and fault simulations are done in simulation software Power Systems Computer Aided Design (PSCAD). …”
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An event-based diffusion LMS strategy by Wang, Yuan, Tay, Wee Peng, Hu, Wuhua

“…Simulations demonstrate that our event-based strategy can achieve similar steady-state network MSD as the adapt-then-combine diffusion strategy but at a significantly lower communication rate.…”
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Hybrid modulation strategy for the Vienna rectifier by Molligoda, Devinda, Ceballos, Salvador, Pou, Josep, Satpathi, Kuntal, Sasongko, Firman, Gajanayake, Chandana, Gupta, Amit

“…In this paper, a hybrid modulation strategy is introduced where a calculated minimal amount of reactive current depending on the operating conditions is injected to avoid overmodulation. …”
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Enhanced connection adaption strategy with partition approach by Zhu, Xiaocong, Zhou, Jie, Zou, Yong, Tang, Ming, Xiao, Gaoxi

“…An efficient control scheme based on the connection adaption strategy (CAS) has been proposed by Zhou et al. who revealed that the controllability is restricted by the topological distance between the units and the controller. …”
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Strategies to overcome the limitations of AIEgens in biomedical applications by Gu, Bobo, Yong, Ken-Tye, Liu, Bin

“…Here, the recent development of AIEgens for biomedical applications is summarized and novel strategies to overcome their limitations are proposed. …”
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Secure detection : performance metric and sensor deployment strategy by Ren, Xiaoqiang, Mo, Yilin

“…A Nash equilibrium pair of the detection algorithm and attack strategy, with the deployed sensors given, is provided and the corresponding detection performance is adopted as the performance metric. …”
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Adaptive evolutionary programming with p-best mutation strategy by Das, Swagatam., Mallipeddi, Rammohan., Maity, Dipankar.

“…We investigate the effectiveness of introducing controlled bias in parent selection in conjunction with an Adaptive Fast EP (AFEP), where the value of a strategy parameter is updated based on the previous records of successful mutations by the same parameter. …”
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A Multitask Diffusion Strategy With Optimized Inter-cluster Cooperation by Wang, Yuan, Tay, Wee Peng, Hu, Wuhua

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A multitask diffusion strategy with optimized inter-cluster cooperation by Wang, Yuan, Tay, Wee Peng, Hu, Wuhua

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Leaking strategy for multicast traffic grooming in WDM mesh networks by Lin, Rongping, Zhong, Wende, Bose, Sanjay Kumar, Zukerman, Moshe

“…This leaking strategy improves the sharing of light-trees and add/drop ports, leading to lower blocking ratios. …”
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Routing strategy in disconnected mobile ad hoc networks with group mobility by Chong, Peter Han Joo, Guan, Yong Liang, Xie, Ling Fu

“…G-ER is designed on the basis of one DTN protocol called epidemic routing (ER). In G-ER, two strategies related to the unique characteristics of the group mobility have been proposed to greatly improve ER. …”
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An advanced-time-sharing switching strategy for multiple-input buck converters by Xian, Liang, Wang, Youyi

“…The principle of the proposed advanced-timesharing switching (ATSS) strategy is that the effective duty ratio of each switch is an integer multiple of a common duty ratio (CDR). …”
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Feedback linearization-based current control strategy for modular multilevel converters by Yang, Shunfeng, Wang, Peng, Tang, Yi

“…The stability of the proposed control strategy is analyzed. The experimental verification results show that, compared to the conventional cascaded control strategies for MMCs, the proposed feedback linearization control strategy is able to achieve improved steady-state and dynamic performances. …”
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Control of mobile chaotic agents with jump-based connection adaption strategy by Zhou, Jie, Zhou, Yinzuo, Xiao, Gaoxi, Stanley, H. Eugene

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Optimization strategy based on deep reinforcement learning for home energy management by Liu, Yuankun, Zhang, Dongxia, Gooi, Hoay Beng

“…In this paper, a home energy management optimization strategy is proposed based on deep Q-learning (DQN) and double deep Q-learning (DDQN) to perform scheduling of home energy appliances. …”
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Particle swarm optimization with state-based adaptive velocity limit strategy by Li, Xinze, Mao, Kezhi, Lin, Fanfan, Zhang, Xin

“…Several adaptive VL strategies have been introduced with which the performance of PSO can be improved. …”
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Active control strategy for switched systems against asynchronous DoS attacks by Zhao, Rui, Zuo, Zhiqiang, Wang, Yijing, Zhang, Wentao

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Comparative analysis of power ramp rate control strategies for photovoltaic systems by Yan, Hein Wai, Liang, Gaowen, Rodriguez, Ezequiel, Beniwal, Neha, Farivar, Glen G., Pou, Josep

“…Furthermore, this paper studies the BESS utilization behavior among hardware-based control strategies, and also provides insights into which strategy is more appropriate for specific applications. …”
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Improved MOGIFO-based flux observation strategy for PMSM sensorless drives by Dian, Renjun, Zhang, Junhe, Jiang, Yajie

“…Finally, MOGIFO-based sensorless drive strategy for PMSM system are tested by the simulations and experimental results.…”
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Robust state estimation for power systems via moving horizon strategy by Chen, Tengpeng

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