Výsledky vyhľadávania - dynamic load inversion algorithm
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A New Approach for Multiple Loads Identification Based on the Segmental Area of the Influence Lines
ISSN: 2412-3811, 2412-3811Vydavateľské údaje: Basel MDPI AG 01.11.2025Vydané v Infrastructures (Basel) (01.11.2025)“…). 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
ISSN: 2352-0124, 2352-0124Vydavateľské údaje: Elsevier Ltd 01.12.2024Vydané v Structures (Oxford) (01.12.2024)“…) 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
ISSN: 0029-5493, 1872-759XVydavateľské údaje: Amsterdam Elsevier B.V 01.07.2020Vydané v Nuclear engineering and design (01.07.2020)“… 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
ISSN: 0734-743X, 1879-3509Vydavateľské údaje: Oxford Elsevier Ltd 01.01.2021Vydané v International journal of impact engineering (01.01.2021)“…•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
ISSN: 2300-1917, 0239-7528, 2300-1917Vydavateľské údaje: Warsaw Polish Academy of Sciences 2023Vydané v Bulletin of the Polish Academy of Sciences. Technical sciences (2023)“…) 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
ISSN: 2076-3417, 2076-3417Vydavateľské údaje: Basel MDPI AG 01.01.2023Vydané v Applied sciences (01.01.2023)“…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
ISSN: 0165-1684, 1872-7557Vydavateľské údaje: Amsterdam Elsevier B.V 01.08.2011Vydané v Signal processing (01.08.2011)“…) 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
ISSN: 2226-4310, 2226-4310Vydavateľské údaje: Basel MDPI AG 01.04.2025Vydané v Aerospace (01.04.2025)“…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
ISSN: 2195-268X, 2195-2698Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2023Vydané v International journal of dynamics and control (01.04.2023)“… 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
ISSN: 0967-0661Vydavateľské údaje: 01.12.2023Vydané v Control engineering practice (01.12.2023)Získať plný text
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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
ISSN: 2075-5309, 2075-5309Vydavateľské údaje: Basel MDPI AG 01.06.2025Vydané v Buildings (Basel) (01.06.2025)“…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
ISSN: 1949-3029, 1949-3037Vydavateľské údaje: Piscataway IEEE 01.10.2025Vydané v IEEE transactions on sustainable energy (01.10.2025)“… 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
ISSN: 2075-5309, 2075-5309Vydavateľské údaje: Basel MDPI AG 01.09.2025Vydané v Buildings (Basel) (01.09.2025)“…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
ISSN: 1359-4311Vydavateľské údaje: Elsevier Ltd 01.07.2025Vydané v Applied thermal engineering (01.07.2025)“…).•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
ISSN: 1939-1404, 2151-1535“…Foliage fuel load (FFL) is a critical factor affecting crown fire intensity and rate of spread…”Vydavateľské údaje: Piscataway IEEE 2021
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An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations
ISSN: 2168-2216, 2168-2232Vydavateľské údaje: New York IEEE 01.09.2022Vydané v IEEE transactions on systems, man, and cybernetics. Systems (01.09.2022)“…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
ISSN: 1070-9622, 1875-9203Vydavateľské údaje: Cairo John Wiley & Sons, Inc 2024Vydané v Shock and vibration (2024)“… 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
ISSN: 2076-0825, 2076-0825Vydavateľské údaje: Basel MDPI AG 01.05.2024Vydané v Actuators (01.05.2024)“… 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
ISSN: 2005-4092, 1598-6446, 2005-4092Vydavateľské údaje: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.09.2025Vydané v International journal of control, automation, and systems (01.09.2025)“…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
ISSN: 0306-2619, 1872-9118Vydavateľské údaje: Elsevier Ltd 01.04.2024Vydané v Applied energy (01.04.2024)“… 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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