IDENTIFICATION AND VERIFICATION OF DYNAMIC PARAMETERS FOR THE WELDING MANIPULATOR by Radka JÍROVÁ, Lubomír PEŠÍK

“…The objective of this article is to identify and verify the basic dynamic parameters of the welding manipulator, as a starting point for the operating loads calculation of linear guiding systems. …”
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Modelling and analysis of selected platform dynamics issues of a land robot by Zbigniew Dziopa, Andrzej Zuska, Dariusz Więckowski

“…A modal analysis was carried out to determine the dynamic parameters of the system and its susceptibility to the generated excitations was determined. …”
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An improved elastic net clustering algorithm with dynamic parameter strategy by Junyan Yi, Maoming Wang, Changsheng Zhou

“…In order to tackle these issues, we propose an improved elastic net clustering algorithm with dynamic parameter strategy (IENDP). …”
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Determine cable dynamic parameters from vibration measurement results by Nguyen Huu HUNG, Tran Viet HUNG

“…Therefore, stay cables are essential parts of cable-stayed bridges and extrados bridges. Determining the parameters of the stay cable is necessary work. Among the parameters of cable-stayed cables, dynamic parameters such as frequency and damping ratio play an important role. …”
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Structural Dynamic Load and Parameter Identification Based on Dummy Measurements of Displacement by Ting Wang, Zhimin Wan, Weiguang Zheng, Shuilong He

“…Structural load and parameter identification are the essential contents in the field of structural dynamics, and some studies pay attention to the coupled recognition of uncertain structure parameters as well as unacquainted loads. …”
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Frequency Scanning-Based Dynamic Model Parameter Estimation: Case Study on STATCOM by Hyeongjun Jo, Juseong Lee, Soobae Kim

“…The increase in model complexity causes greater computational workload and presents challenges for grid stability analysis. To address this issue, this paper proposes a method for estimating the parameters of a simple generic model capable of emulating the dynamic behavior of complex power-electronic models. …”
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Model of Gas Turbine Plant with Concentrated Parameters for Analysis of Dynamic Properties Patterns by Oleksandr Yavorskyi, Olha Tarakhtii, Maksym Maksymov, Viktoria Kryvda

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An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation by Sanyi Li, Hongyu Guan, Peng Liu, Weichao Yue, Qian Wang

“…Second, the regularization parameter r is adjusted dynamically to speed up the learning process. …”
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Research on Key Parameters of Building Load Model for Dynamic Performance Measurement of Air Conditioner by Gao Yuping, Wen Chengyu, Shi Wenxing, Han Xing, Cheng Jianhong, Cai Ning, Wang Chao, Yang Zixu

“…Given that the steady-state condition measurement in the laboratory cannot fully reflect the actual performance issues of air conditioners, the dynamic performance measurement of room air conditioners based on virtual buildings has become a current research hotspot. …”
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Bayesian Dynamic Linear Model with Adaptive Parameter Estimation for Short-Term Travel Speed Prediction by Tai-Yu Ma, Yoann Pigné

“…In this study, we propose an adaptive dynamic linear model to adaptively update model parameters for online system state prediction. …”
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An Issue on Analysis of Digital Public Governance Political Opportunities Structure in Russia: Regional Aspect by A. М. Kaplunenko

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On the issue of improving the methodology for confirming maximum safe (design) speed of freight railcars by G. I. Gadzhimetov, A. A. Lunin, G. I. Petrov

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Differential Evolution in Problems Optimal Parameters Search for Population-Migration Models by Olga Druzhinina, Olga Masina, Irina Vasilyeva

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Research on Parameter Compensation Method and Control Strategy of Mobile Robot Dynamics Model Based on Digital Twin by Renjun Li, Xiaoyu Shang, Yang Wang, Chunbai Liu, Linsen Song, Yiwen Zhang, Lidong Gu, Xinming Zhang

“…By a virtual engine and digital twins, this study put forward a visualization monitoring and control system framework which can address the difficulties in the intelligent factories while managing a variety of data sources, such as virtual–real integration, real-time feedback, and other issues. To develop a more realistic dynamic model for the robots, we presented a neural-network-based compensation technique for the nonlinear dynamic model parameters of outdoor mobile robots. …”
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A Computational Fluid Dynamics Study on the Effect of Drilling Parameters on Wellbore Cleaning in Oil Wells by Bachir Doghmane, Younes Hadj Guenaoui, Aimen Laalam, Habib Ouadi

“…This study addresses this issue by employing Computational Fluid Dynamics (CFD) with the commercial software ANSYS FLUENT (2023-R1) to simulate a solid–liquid multiphase flow in an annulus. …”
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Computational Issues in Nonlinear Dynamical Systems: Creating Bifurcation Diagrams of Lyapunov Exponents Using a Novel Adaptive Approach by Maciej Walczak, Wieslaw Marszalek

“…Thus, a new adaptive approach is proposed to avoid the co-linearity issue. Four corrections of the parameters involved in the algorithm are proposed in the new adaptive approach. …”
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A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling by Haiyun Zhang, Kelvin HoLam Heung, Gabrielle J. Naquila, Ashwin Hingwe, Ashish D. Deshpande

“…Controlling soft robots, especially soft hand grasping, is complex due to their ubiquitous deformation, prompting the use of reduced model‐based controllers to provide sufficient state information for high dynamic response control performance. However, most modeling techniques face computational efficiency and complexity of parameter identification issues. …”
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Grid influence issues in the methodology of numerical modelling of non-stationary combustion processes by A. T. Savchuk, L. V. Moskalenko

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Research on an internal model control algorithm and parameter tuning for metro traction PMSMs by SI Junmin, YUE Xuelei, TIAN Di, XU Kelei

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A Novel Formulation for Adaptive Computed Torque Control Enabling Low Feedback Gains in Highly Dynamical Tasks by Giorgio Simonini, Marco Baracca, Tommaso V. Cavaliere, Antonio Bicchi, Paolo Salaris

“…Adaptive Computed Torque Control addresses this issue by updating the dynamic model parameters to achieve asymptotic stability. …”
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