Search Results - "data‐driven algorithm"

Data-driven optimal tracking control of discrete-time multi-agent systems with two-stage policy iteration algorithm by Peng, Zhinan, Zhao, Yiyi, Hu, Jiangping, Ghosh, Bijoy Kumar

“…Herein, a novel adaptive dynamic programming (ADP) algorithm is developed to solve the optimal tracking control problem of discrete-time multi-agent systems…”
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Leveraging the Hankel norm approximation and data‐driven algorithms in reduced order modeling by Yu, Annan, Townsend, Alex

“…Summary Large‐scale linear time‐invariant (LTI) dynamical systems are widely used to characterize complicated physical phenomena. Glover developed the Hankel…”
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Degradation trajectory prediction of lithium‐ion batteries based on charging‐discharging health features extraction and integrated data‐driven models by Zheng, Xiujuan, Wu, Fei, Tao, Liujun

“…As one of the key technologies in battery management system, accurate remaining useful life (RUL) prediction is critical to guarantee the reliability and…”
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Machine-Learning-Assisted De Novo Design of Organic Molecules and Polymers: Opportunities and Challenges by Chen, Guang, Shen, Zhiqiang, Iyer, Akshay, Ghumman, Umar Farooq, Tang, Shan, Bi, Jinbo, Chen, Wei, Li, Ying

“…Organic molecules and polymers have a broad range of applications in biomedical, chemical, and materials science fields. Traditional design approaches for…”
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A particle swarm optimization and prior knowledge fusion seismic damage prediction of concrete structures by Sun, Bin, Li, Yan, Guo, Tong

“…A data-driven algorithm is developed to predict local seismic damage distribution of concrete structures based on the measured global structural response…”
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Data-Driven Event-Triggered Control for Nonlinear Multi-Agent Systems With Uniform Quantization by Ren, Hongru, Liu, Renzhi, Cheng, Zhijian, Ma, Hui, Li, Hongyi

“…In this brief, a data-driven event-triggered control algorithm is developed for the unknown discrete-time nonlinear multi-agent systems (MASs) with…”
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A data‐driven scheduling approach for integrated electricity‐hydrogen system based on improved DDPG by Zhao, Yaping, Huang, Jingsi, Xu, Endong, Wang, Jianxiao, Xu, Xiaoyun

“…The involvement of hydrogen energy systems has been recognised as a promising way to mitigate climate problems. As a kind of efficient multi‐energy…”
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Reduced-order prediction of unsteady spatial-temporal aerodynamics in a turbine cascade by Qiao, Tianyang, Hu, Chenxing, Yang, Ce

“…A low-cost prediction method that effectively captures the detailed dynamics of unsteady motions is necessary for turbomachinery design. This paper applies two…”
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Sharing instant delivery UAVs for crowdsensing: A data-driven performance study by Gao, Junhui, Pan, Yan, Zhang, Xin, Han, Qingye, Hu, Yujiao

“…In recent years, there has been a significant increase in demand for instant deliveries, such as rapid delivery of takeaway food and medicine. Many logistics…”
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A multi-condition spectral proper orthogonal decomposition approach for reconstruction of transient temperature fields in turbine blades by Mi, Jin, Qiu, Lu, Tong, Zi-Xiang, Zhang, Yimin, Zhu, Jianqin

“…•A multi-condition SPOD method is developed for transient field reconstruction.•Frequency-aware SPOD modes are extracted from five types of thermal…”
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An improved data-driven methodology and field-test verification of yaw misalignment calibration on wind turbines by Qu, Chenzhi, Lin, Zhongwei, Chen, Pei, Liu, Jizhen, Chen, Zhenyu, Xie, Zhen

“…•A SCADA data-driven yaw misalignment calibration methodology is constructed.•A long-term field test based on commercial WTs is conducted for…”
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A Robust and Efficient Ensemble of Diversified Evolutionary Computing Algorithms for Accurate Robot Calibration by Chen, Tinghui, Li, Shuai, Qiao, Yan, Luo, Xin

“…Industrial robots are regarded as essential instruments for advanced industry upgrading. The kinematic parameters of an industrial robot should be calibrated…”
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Model Order Reduction of Large-Scale Wind Farms: A Data-Driven Approach by Gong, Zilong, Mao, Junyu, Junyent-Ferre, Adria, Scarciotti, Giordano

“…This paper proposes a data-driven algorithm for model order reduction (MOR) of large-scale wind farms and studies the effects that the obtained reduced-order…”
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Partially observed linear quadratic stochastic optimal control problem in infinite horizon: A data-driven approach by Li, Xun, Wang, Guangchen, Xiong, Jie, Zhang, Heng

“…This paper develops a data-driven algorithm to solve an infinite-horizon partially observed linear quadratic stochastic optimal control problem. The optimal…”
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Transition to secondary progression in relapsing-onset multiple sclerosis: Definitions and risk factors by Iaffaldano, Pietro, Lucisano, Giuseppe, Patti, Francesco, Brescia Morra, Vincenzo, De Luca, Giovanna, Lugaresi, Alessandra, Zaffaroni, Mauro, Inglese, Matilde, Salemi, Giuseppe, Cocco, Eleonora, Conte, Antonella, Ferraro, Diana, Galgani, Simonetta, Bergamaschi, Roberto, Pozzilli, Carlo, Salvetti, Marco, Lus, Giacomo, Rovaris, Marco, Maniscalco, Giorgia Teresa, Logullo, Francesco Ottavio, Paolicelli, Damiano, Achille, Mariaclara, Marrazzo, Giuseppina, Lovato, Valeria, Comi, Giancarlo, Filippi, Massimo, Amato, Maria Pia, Trojano, Maria

“…No uniform criteria for a sensitive identification of the transition from relapsing-remitting multiple sclerosis (MS) to secondary-progressive multiple…”
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Data‐driven–based attitude control of combined spacecraft with noncooperative target by Jiang, Huaiyuan, Zhou, Bin, Li, Dongxu, Duan, Guangren

“…Summary In this paper, the attitude control of combined spacecraft with noncooperative target is studied. For the linearized system of the attitude control…”
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Learn to optimize—a brief overview by Tang, Ke, Yao, Xin

“…Most optimization problems of practical significance are typically solved by highly configurable parameterized algorithms. To achieve the best performance on a…”
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An efficient calculation method of large-region dynamic traffic noise maps based on hybrid modeling by Hong, Xiaodan, Xia, Dan, Zhu, Wenying

“…The construction of noise maps is of great significance for the management and control of urban noise and the protection of residents’ physical and mental…”
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Investigating the potential accuracy of spaceborne solar-induced chlorophyll fluorescence retrieval for twelve capable satellites based on simulation data by Zou, Chu, Liu, Liangyun, Du, Shanshan, Liu, Xinjie

“…Remote sensing of solar-induced chlorophyll fluorescence (SIF) has been widely investigated with satellites/sensors covering the spectral range of SIF emission…”
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Mixed data-driven decision-making in demand response management: An empirical evidence from dynamic time-warping based nonparametric-matching DID by Wang, Zhaohua, Zhao, Wenhui, Deng, Nana, Zhang, Bin, Wang, Bo

“…•Mixed frequency data have been integrates for residential DR decision making.•Dynamic time-warping clustering-based DID method have been proposed.•Challenges…”
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