Search Results - dynamic load inversion algorithm

A New Approach for Multiple Loads Identification Based on the Segmental Area of the Influence Lines by Liu, Ping, Qiu, Weiwei, Kaewunruen, Sakdirat

“…). To enable the precise identification of the main moving load(s) among multiple moving loads, this study proposes an improved multi-source dynamic load identification algorithm based on the segmental area of the influence line (SAI…”
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Time-domain load identification and dynamic displacement inversion of discharge sluice in large hydropower stations based on the conjugate gradient least squares iteration algorithm by Li, Huokun, Wang, Wentao, Liu, Bo, Xu, Yingdan, Huang, Wei, Tang, Yiyuan, Wu, Pengzhen, Wang, Jiao, Liao, Weisheng

“…) iteration algorithm is proposed. The main idea of this method is to first construct a mathematical model through the response signal and the structural modal parameters for solving the equivalent load acting on the sluice structure…”
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Design of NDI-SMC based robust hybrid nonlinear controller for load following operation in pressurized water reactor by Yadav, Deepak Kumar, Gupta, Amitava, Munshi, Prabhat

“… This paper proposes a robust and tracking hybrid nonlinear state feedback tracking controller which combines nonlinear dynamic inversion (NDI…”
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Stochastic inversion method for dynamic constitutive model of rock materials based on improved DREAM by Zhai, Yue, Zhao, Ruifeng, Li, Yubai, Li, Yan, Meng, Fandong, Wang, Tienan

“…•Dynamic constitutive parameters is considered as random variables in inversion calculation…”
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Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm by Peláez-Rodríguez, César, Magdaleno, Álvaro, Salcedo-Sanz, Sancho, Lorenzana, Antolín

“…) replication with an inertial electrodynamic mass actuator (APS 400). This is a first approach to the systematization of dynamic load tests on structures in a purely objective, repeatable and pedestrian-independent basis…”
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An Inversion Algorithm for the Dynamic Modulus of Concrete Pavement Structures Based on a Convolutional Neural Network by Chen, Gongfa, Chen, Xuedi, Yang, Linqing, Han, Zejun, Bassir, David

“…Based on the spectral element method (SEM) and a convolutional neural network (CNN), an inversion algorithm for the dynamic modulus of concrete pavement structures is proposed in this paper…”
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Self-tuning distributed measurement fusion Kalman estimator for the multi-channel ARMA signal by Ran, Chenjian, Deng, Zili

“…) algorithm, correlation method and Gevers–Wouters algorithm with a dead band. Substituting these estimates into the optimal distributed measurement fusion Kalman signal…”
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Design and Analysis of a Launcher Flight Control System Based on Incremental Nonlinear Dynamic Inversion by Simplício, Pedro, Acquatella, Paul, Bennani, Samir

“…This paper investigates the application of Incremental Nonlinear Dynamic Inversion (INDI…”
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Dynamic modeling and displacement control for differential flatness of quadrotor UAV slung-load system by Roy, Kumud Ranjan, Waghmare, Laxman M., Patre, Balasaheb M.

“… and external wind disturbances are investigated. The flight dynamics of the Q-UAVs are changed once the load is slung beneath them via cable, causing the UAVs…”
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Implementation of dynamics inversion algorithms in active vibration control systems: Practical guidelines by Ramírez-Senent, José, García-Palacios, Jaime H., Díaz, Iván M.

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Two-Scale Physics-Informed Neural Networks for Structural Dynamics Parameter Inversion: Numerical and Experimental Validation on T-Shaped Tower Health Monitoring by Liu, Xinpeng, Zhang, Xuemei, Zhong, Yongli, Yan, Zhitao, Hong, Yu

“…We present a two-scale physics-informed neural network (TSPINN) algorithm to address structural parameter inversion problems involving small parameters…”
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Rotor Thrust Control for Large-Scale Wind Turbine in Near-Rated Wind Speed Region by Li, Jiaqi, Fan, Siyuan, Geng, Hua

“… The rotor thrust control loop is then designed with the identified rotor thrust. Then, a feedforward blade pitch saturator is designed, called Nonlinear Dynamic Inversion based minimum Pitch Saturator (NDI-PS…”
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Inversion of Thermal Parameters and Temperature Field Prediction for Concrete Box Girders Based on BO-XGBoost by Yang, Tongquan, Wang, Xiang, Li, Qingfu, Xu, Ao, Ma, Xiyu

“…To mitigate thermal cracking in concrete box girders during construction, this study introduces an inversion method for thermal parameters by integrating machine learning with finite element simulation…”
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Inversion of cooling parameters for structure concrete surrounding the spiral case based on improved coati optimization algorithm by Xu, Wenjie, Wang, Gang, Ma, Zhenyue, Xian, Liquan, Zhang, Dongdong, Li, Junjie

“…).•Uses optimized meta-heuristic algorithm for parameter inversion.•A water pipe heat transfer element was developed and used to validate the parameters…”
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Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method by Quan, Xingwen, Li, Yanxi, He, Binbin, Cary, Geoffrey, Lai, Gengke

“…Foliage fuel load (FFL) is a critical factor affecting crown fire intensity and rate of spread…”
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An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations by Liao, Shan, Liu, Jiayong, Qi, Yimeng, Huang, Haoen, Zheng, Rongfeng, Xiao, Xiuchun

“…In this article, the existing approaches, including numerical algorithms as well as neural networks to solve dynamic linear matrix equations, have been presented and reviewed…”
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Inversion of Lateral Impact Load Migration History and Trajectory Location Method for Deck Structures Based on the Time‐Slicing Method by Li, Hongtao, Sheng, Qihu, Qu, Xianqiang, Xie, Yaoguo

“… through Green’s function, locate the region through the minimum norm of the load data obtained from the measurement response inversion, and obtain the time history…”
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Trajectory Planning through Model Inversion of an Underactuated Spatial Gantry Crane Moving in Structured Cluttered Environments by Bettega, Jason, Richiedei, Dario, Tamellin, Iacopo

“… The method relies on model inversion. First, the system dynamics is partitioned into actuated and unactuated coordinates and then the load displacements are described as a non-linear separable function…”
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Torque-based INDI for UAV Control: Eliminating Pseudo-inverses and Improving Control Gain Selection by Jeong, Hoijo, Yang, Yechan, Park, Seonghyeon, Choi, Jiwoo, Kim, Yeji, Kim, Yunseob, Suk, Jinyoung, Kim, Seungkeun

“…Incremental nonlinear dynamic inversion (INDI) controllers effectively handle disturbances and model uncertainties using angular acceleration feedback…”
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A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter algorithm by Liu, Yaru, Wang, Lei, Ng, Bing Feng

“… This paper introduces a novel hybrid model-data-driven framework for the dynamic load identification of interval structures, which seamlessly combines finite-element modeling with machine learning techniques…”
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