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Ana Catarina Costa, Haitong Xu and Carlos Guedes Soares
The work presents the identification and validation of the hydrodynamic coefficients for the surge, sway, and yaw motion. This is performed in two ways: using simulated data and free-running test data. The identification and validation with the simulatio...
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Haifeng Li, Qing Chen, Chang Fu, Zhe Yu, Di Shi and Zhiwei Wang
Parameter identification in load models is a critical factor for power system computation, simulation, and prediction, as well as stability and reliability analysis. Conventional point estimation based composite load modeling approaches suffer from distu...
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Tongjing Sun, Yabin Wen, Xuegang Zhang, Bing Jia and Mengwei Zhou
Ocean reverberations, a significant interference source in active sonar, arise as a response generated by random scattering at the receiving end, a consequence of randomly distributed clutter or irregular interfaces. Statistical analysis of reverberation...
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Özge Sahin and Naci Caglar
The dynamic characteristics of buildings and their behavior under various dynamic loads play a crucial role in civil engineering applications, particularly for earthquake-resistant structural design. Employing a precise mathematical model of the structur...
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Chiharu Mizuki and Yasuhisa Kuzuha
Frequency analysis has long been an important theme of hydrology research. Although meteorological techniques (physical approaches) such as radar nowcasting, remote sensing, and forecasting heavy rainfall events using meteorological simulation models are...
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Weinan Huang, Xiaowen Zhu, Haofeng Xia and Kejian Wu
In wind resource assessment research, mixture models are gaining importance due to the complex characteristics of wind data. The precision of parameter estimations for these models is paramount, as it directly affects the reliability of wind energy forec...
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Yanqiu Gao
The ensemble Kalman filter is often used in parameter estimation, which plays an essential role in reducing model errors. However, filter divergence is often encountered in an estimation process, resulting in the convergence of parameters to the improper...
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Carine Jauberthie and Nathalie Verdière
A numerical parameter estimation method, based on input-output integro-differential polynomials in a bounded-error framework is investigated in this paper. More precisely, the measurement noise and parameters belong to connected sets (in the proposed wor...
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Alain Nogaret
Model optimization in neuroscience has focused on inferring intracellular parameters from time series observations of the membrane voltage and calcium concentrations. These parameters constitute the fingerprints of ion channel subtypes and may identify i...
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Ning Sun, Jie Li, Debiao Zhang, Chenjun Hu, Xiaofei Peng, Jie Jiang, Shuai Wang, Zeyu Zhang and Wentao Cui
The performance of analog-to-digital converters (ADCs) has reached a bottleneck due to the limitations of the manufacturing process and testing environment. Time-interleaved ADC (TIADC) technology can increase the sampling rate without changing the resol...
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Guilin Liu, Pengfei Xu, Yi Kou, Fang Wu, Yi Yang, Daniel Zhao and Zaijin You
Typhoon storm surge disasters are one of the main restrictive factors of sustainable development in coastal areas. They are one of several important tasks in disaster prevention and reduction in coastal areas and require reasonable and accurate calculati...
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Máté Siket, György Eigner, Dániel András Drexler, Imre Rudas and Levente Kovács
One challenging aspect of therapy optimization and application of control algorithms in the field of tumor growth modeling is the limited number of measurable physiological signals?state variables?and the knowledge of model parameters. A possible solutio...
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Mei Su, Weiyu Jin, Guanguan Zhang, Weiyi Tang and Frede Blaabjerg
In the wind energy generation system, the brushless doubly-fed induction machine (BDFIM) has shown significant application potential, since it eliminates the electric brush and slip ring. However, the complicated rotor structure increases the control dif...
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Yulin Wang, Zulin Hua and Liang Wang
Water quality models are of great importance for developing policies to control water pollution, with the model parameters playing a decisive role in the simulation results. It is necessary to introduce estimation through multi-objective parameters, whic...
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Gang Zhang, Tuo Xie, Lei Zhang, Xia Hua and Fuchao Liu
The Sacramento model is widely utilized in hydrological forecast, of which the accuracy and performance are primarily determined by the model parameters, indicating the key role of parameter estimation. This paper presents a multi-step parameter estimati...
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Gang Zhang, Tuo Xie, Lei Zhang, Xia Hua, Fuchao Liu
Pág. 1 - 21
The Sacramento model is widely utilized in hydrological forecast, of which the accuracy and performance are primarily determined by the model parameters, indicating the key role of parameter estimation. This paper presents a multi-step parameter estimati...
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Qingguo Wang, Jong Ahn Chun, David Fleisher, Vangimalla Reddy, Dennis Timlin and Jonathan Resop
The Farquhar?von Caemmerer?Berry (FvCB) biochemical model of photosynthesis, commonly used to estimate CO2 assimilation at various spatial scales from leaf to global, has been used to assess the impacts of climate change on crop and ecosystem ...
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Gang Zhang, Tuo Xie, Lei Zhang, Xia Hua, Chen Wu, Xi Chen, Fangfeng Li and Bin Zhao
This paper discusses the Muskingum model as a novel parameter estimation method. Sixty representative floods over the past four decades serve as research objects; a linear Muskingum model and Pigeon-inspired optimization (PIO) algorithm are used to obtai...
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Yeonjoo Kim, Eun-Sung Chung, Kwangjae Won and Kyungik Gil
This study developed a robust parameter set (ROPS) selection framework for a rainfall-runoff model that considers multi-events using the Pareto optimum and minimax regret approach (MRA). The calibrated parameter sets based on the Nash-Sutcliffe coefficie...
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Yeonjoo Kim, Eun-Sung Chung, Kwangjae Won and Kyungik Gil
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