Shuffled Puma Optimizer for Parameter Extraction and Sensitivity Analysis in Photovoltaic Models by En-Jui Liu, Rou-Wen Chen, Qing-An Wang, Wan-Ling Lu

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A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter by LYU Gexing, ZHU Qi

Subjects: “…parameter identification…”
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Research on Feed Forward Adaptive-generalized Model Predictive Control for High-speed Train Automatic Operation by LUO Yuan, YI Jie, BAI Jinlei, ZHANG Zhengfang

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Online Identification of Synchronous Generator Electromechanical Parameters for Intelligent Control Problems by Frolov M.Yu., Stepanovich R. Yu., Lizalek N.N., Dulov I.V.

Subjects: “…parameter identification…”
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Combined application of methods of maximum consistency and anti-robust parameter estimation in the construction of regression models by S. I. Noskov, Yu. A. Bychkov

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Computing Parameter Estimates of a Homogeneous Nested Piecewise Linear Regression by S. I. Noskov, S. I. Belinskaya

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A PSO-based approach for parameter estimation in synchronous machines by Leguebedj Farid, Benmahamed Youcef, Boukhetala Djamel, Boughrara Kamel

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Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis by Jianying Wang, Cheng Wang, Tianshu Zhang, Bineng Zhong

“…Aiming at the problem of lack of comparison and evaluation of different ICA algorithms for output-only modal analysis, this paper studies the different objective functions and optimization methods of ICA for output-only modal parameter identification. Simulation results on simply supported beam verify the effectiveness, robustness, and convergence rate of five different ICA algorithms for output-only modal parameters identification and show that maximization negentropy with quasi-Newton iterative of ICA method is more suitable for modal parameter identification.…”
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Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, SONG Junhui

“…The effectiveness and advancement of the parameter identification algorithm proposed in this paper were verified. …”
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DYNAMIC COUPLING MODELING FORMED BY TURNING IN CUTTING DYNAMICS PROBLEMS (POSITIONAL COUPLING) by Vilor L. Zakovorotniy, Dinh Tung Pham, Xuan Chiem Nguyen, Mikhail N. Ryzhkin

“…Mathematical simulation and parameter identification of dynamic coupling between the tool and workpiece formed through cutting are considered. …”
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On-line Diagnosis Technology for the Shock Absorbers on Subway Vehicle Based on RLS by WANG Yu, LYU Yu, ZHAO Muhua

“…Diagnostic results show that the RLS algorithm has better tracking convergence effect in the shock absorber online parameter identification.…”
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The Mechanical Properties of a Smart Compression-Type Isolator Based on Magnetorheological Gel and Magnetorheological Elastomer by Guo-Jun Yu, Xi-Xi Wen, Cheng-Bin Du, Fei Guo

“…Theoretical results obtained from the mechanical model of the MRG/MRE smart isolator agree well with the experimental results indicating that the parameter identification method is feasible and effective.…”
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Co-Optimization of Vibration Suppression and Data Efficiency in Robotic Manipulator Dynamic Modeling by Xiaowei Han, Kunru Wu, Nanmu Hui

“…In response to the limitations of vibration suppression performance caused by the difficulty in accurately modeling nonlinear friction during robotic manipulator dynamics parameter identification, this paper proposes a hybrid identification method based on a Broad Learning System (BLS) optimized by Particle Swarm Optimization (PSO). …”
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Rotor-System Log-Decrement Identification Using Short-Time Fourier-Transform Filter by Qihang Li, Weimin Wang, Lifang Chen, Dan Sun

“…Improving the precision of parameter identification of stability is essential and necessary as well. …”
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Design of a Wireless Multi-Radio-Frequency Channels Inspection System for Bridges by Yan Yu, Jie Wang, Xingquan Mao, Hongbo Liu, Lei Zhou

“…The wireless controller, equipped with a high-performance computation unit, a wireless transceiver unit, a mobile power source, and an embedded data analysis software, can totally control multiple wireless nodes and receive and analyze data for parameter identification. To verify the performance of the WMCIS, experiments are made on the Caihong Bridge and Jinzhou Bridge in China for inspecting the bridge structural vibration. …”
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Operational Modal Analysis of Civil Engineering Structures with Closely Spaced Modes Based on Improved Hilbert–Huang Transform by Xu-Qiang Shang, Tian-Li Huang, Yi-Bin He, Hua-Peng Chen

“…Hilbert–Huang transform (HHT), a widely used method for modal parameter identification, first applies empirical mode decomposition (EMD) to decompose the acquired response and then uses the Hilbert transform (HT) to identify the modal parameters. …”
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Decentralized coordinated emergency frequency control strategy for renewables-rich power systems based on multi-agent reinforcement learning by Zhenglong Sun, Junpeng Han, Weihan Chen, Rui Zhang, Yong Liu, Yoash Levron, Juri Belikov

“…Combined with the system frequency response (SFR) model parameter identification method, the grid frequency regulation capability of different fault conditions is evaluated. …”
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A Pilot Validation Study of a Biomechanical Simulation Model for Rotational Ankle Injuries Using Robotic Cadaveric Testing by Mohammad Amin Shayestehpour MSc, Martin G. Gregersen PT, MSc, Ola Saatvedt MD, Øystein Bjelland PhD, Marius Molund MD, PhD

“…Experimental data from a cadaveric study involving 15 human ankle specimens subjected to various loading conditions were used to identify the model parameters. After parameter identification from uninjured cadaveric data, we simulated Supination-External Rotation (SER) stage 2-4b injury model by removing the corresponding ligaments. …”
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Aerodynamic model identification of supersonic aircraft using Bayesian approach-based Box–Jenkins structure by Muhammad Fawad Mazhar, Muhammad Wasim, Manzar Abbas, Imran Shafi, Jamshed Riaz, Tae-hoon Kim, Imran Ashraf

“…BJ model utilizes a nonlinear least square estimator for parameter identification, which has been improved by the Levenberg–Marquardt algorithm for parameter error minimization, and further refinement is accomplished through Bayes’ theorem using its maximum-a-posteriori characteristics. …”
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An Identification Method for the Unbalance Parameters of a Rotor-Bearing System by Wengui Mao, Guiping Liu, Jianhua Li, Jie Liu

“…In the method, the unbalance parameters identification problem is formulated as the unbalance force reconstruction which belongs to solving deconvolution problem, in which the unbalance force is expressed in the time domain. …”
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