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  1. 4961

    Super-Twisting Sliding Mode Control for Gearless PMSG-Based Wind Turbine by Mojtaba Nasiri, Saleh Mobayen, Quan Min Zhu

    Published 2019-01-01
    “…It should be noted that the super-twisting sliding mode (STSM) control is implemented to effectively deal with nonlinear relationship between DC-link voltage and the input control signal. …”
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    Article
  2. 4962

    Mechanical Properties of Deep Variable Dip Joint Rock Mass in Reservoir Area under Wet and Dry Conditions by Fei Li, Huafeng Deng, Wenwen Liu, Guoyong Duan

    Published 2023-01-01
    “…The effect of pore water pressure on the strength of saturated jointed rock sample is nonlinear. The imposed pore water pressure can significantly increase the axial deformation of rock samples, and higher pore water pressure can facilitate the deformation deterioration of samples. …”
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    Article
  3. 4963

    Height of Mining-Induced Fractured Zones in Overlying Strata and Permeability of Rock with Nonpenetrative Fractures by Yu Liu, Qimeng Liu, Wenping Li, Youbiao Hu

    Published 2020-01-01
    “…The results showed that the permeability of the rock in NFZ was increased by 7.52 to 48.37 times due to mining, and the magnitude of the increase was nonlinear from top to bottom. The increase of permeability of tested specimens was also related to the lithology. …”
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    Article
  4. 4964

    Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

    Published 2025-01-01
    “…The neural network structure is built using Feed-forward Neural Network (FFNN) architecture and Levenberg-Marquardt (LM) back-propagation training algorithm for accuracy, fast convergence, and reliable optimization of nonlinear relationships. The ST-SMC controller regulates the motion of the prosthetic joints according to specified reference trajectories. …”
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    Article
  5. 4965

    A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter by Shaik Rafikiran, C. H. Hussaian Basha, C. Dhanamjayulu

    Published 2024-01-01
    “…However, the fuel stack drawback is a nonlinear power supply nature. As a result, the functioning point of the fuel stack varies from one position to another position on the V-I curve of the fuel stack. …”
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    Article
  6. 4966

    Dynamic Response of a Casting Crane Rigid-Flexible Coupling System to High Temperature by Yunsheng Xin, Qing Dong, Qisong Qi, Qinglu Shi

    Published 2020-01-01
    “…System motion equations were established according to the Lagrange equation, and the approximate solution of nonlinear system vibration was solved by the direct integration method (the Newmark method). …”
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    Article
  7. 4967

    Effects of Sodium-Glucose Cotransporter-2 Inhibitors on Urine Albumin to Creatinine Ratio in Type 2 Diabetes Mellitus Patients and Medication Care by Dong-Dong Wang, Cun Zhang, Yang Yang, Su-Mei He, Ping Zhu, Xiao Chen

    Published 2022-01-01
    “…Methods. 8371 T2DM patients from four dapagliflozin studies and two canagliflozin studies were collected for analyzing with nonlinear mixed effect model (NONMEM). The change rates of UACR from baseline were intended to be evaluation indicators. …”
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    Article
  8. 4968

    Axial Compression of Glass Fiber Tube-Gangue Concrete-Steel Tubular Hollow Columns by Ni Zhang, Chenyang Zheng, Zhongwei Zhao, Bo Yang

    Published 2021-01-01
    “…The target of this work is to validate the feasibility of replacing ordinary concrete with coal gangue concrete and investigate the compression behavior of GGCS columns. The nonlinear analysis program of GGCS hollow columns under axial compression was proposed, and the axial compression tests of seven GGCS hollow columns were carried out. …”
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    Article
  9. 4969

    Analysis of Regional Economic Development Differences Based on Intelligent Hybrid Algorithm by Yanyan Li

    Published 2021-01-01
    “…Intelligent algorithms or their improved and hybrid algorithms can recently achieve more suitable solutions to practical problems of nonlinear, discrete, nondifferentiable, and multiple constraints. …”
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    Article
  10. 4970

    Multiple Spacecraft Formation Flying Control around Artificial Equilibrium Point Using Propellantless Approach by Lei Zhao, Changqing Yuan, Xiaoming Li, Jingjiu He

    Published 2022-01-01
    “…Secondly, considering the external disturbances in the deep space environment, the nonlinear dynamic model of the spacecraft formation system based on the circular restricted three-body problem (CRTBP) is derived, under the assumption that the leader covers the nominal trajectory and each follower adjusts its propulsive acceleration vector (that is, both its sail attitude and electrostatic charge) in order to track a desired relative trajectory. …”
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  11. 4971

    Further Developments of Bessel Functions via Conformable Calculus with Applications by Mahmoud Abul-Ez, Mohra Zayed, Ali Youssef

    Published 2021-01-01
    “…Furthermore, we describe a useful scheme involving the collocation method to solve some conformable fractional linear (nonlinear) multiorder differential equations. Accordingly, several practical test problems are treated to illustrate the validity and utility of the proposed techniques and examine their approximate and exact solutions. …”
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  12. 4972

    Influence of moving heat sources on thermoviscoelastic behavior of rotating nanorods: a nonlocal Klein–Gordon perspective with fractional heat conduction by Ahmed E. Abouelregal, M. Marin, Abdelaziz Foul, Sameh S. Askar

    Published 2025-01-01
    “…By integrating rotation, viscoelasticity, magnetic forces, and fractional heat conduction, the study developed a comprehensive nonlinear model of nanorod behavior. Numerical simulations demonstrated that fractional-order heat conduction and nonlocal elasticity significantly influenced the thermal and mechanical responses, reducing discrepancies in heat propagation predictions. …”
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  13. 4973

    Population pharmacokinetics of ramipril in patients with chronic heart failure: A real-world longitudinal study by Trobec Katja Čvan, Grabnar Iztok, Trontelj Jurij, Lainščak Mitja, Kos Mojca Kerec

    Published 2024-06-01
    “…Pharmacokinetics were assessed using a nonlinear mixed-effects parent-metabolite model comprising two compartments for ramipril and one compartment for ramiprilat. …”
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  14. 4974

    Near-Fault Ground Motion Impacts on High-Speed Rail Large-Span Continuous Girder Bridge considering Pile-Soil Interaction by Yefei Zhou, Gang Wang, Shuyi Yang, Niu Liu

    Published 2022-01-01
    “…Based on the p-y model for simulating pile-soil interaction, the moment-curvature analysis program XTRACT is used to calculate the moment and curvature of bridge piers and pile foundation sections, and the finite element (FE) software is used to establish two nonlinear global bridge models under seismic effects in the high-intensity zone, one considering pile-soil interaction and one without considering pile-soil interaction. …”
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  15. 4975

    Research on Vibration Characteristics of a Ceramic Spindle Based on the Reverse Magnetic Effect by Ke Zhang, Zinan Wang, Huaitao Shi, Xiaotian Bai, Zhan Wang

    Published 2019-01-01
    “…Using a Timoshenko beam unit to build the dynamic model for the ceramic spindle, the dynamic characteristic of an angular contact ball bearing is analyzed using a nonlinear bearing model. The electromagnetic magnetization model was established based on Maxwell’s theory to calculate electromagnetic magnetic density and radial force. …”
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  16. 4976

    Solution of Extraordinary Differential Equations with Physical Reasoning by Obtaining Modal Reaction Series by Shantanu Das

    Published 2010-01-01
    “…Mathematical modeling of many engineering and physics problem leads to extraordinary differential equations like Nonlinear, Delayed, and Fractional Order. An effective method is required to analyze the mathematical model which provides solutions conforming to physical reality. …”
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  17. 4977

    A Study on the Application of Two Different Material Constitutive Models Used in the FE Simulation of the Cyclic Plastic Behavior of a Steel Beam-Column T-Stub Connection by Wei Wang, Chenchen Zhang, Zeshen Li, Xuehong Gan

    Published 2021-01-01
    “…Seismic actions inevitably cause cyclic plastic deformations in steel frame connections, which is a common cause of failure in steel structures. Nonlinear finite element (FE) static analysis has been employed in the study of the cyclic plastic behavior of a T-stub connection based on the reported cyclic test on the corresponding extensively tested T-stub connection made of Q235 steel. …”
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  18. 4978

    Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques by Khaled Megahed

    Published 2025-02-01
    “…This study initially introduces a finite element (FE) modeling for ECC-CES columns, integrating material and geometric nonlinearities to accurately capture the inelastic behavior of ECC and steel through appropriate constitutive material laws. …”
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  19. 4979

    Psychological features of perception of artworks by people with different types of functional brain asymmetry by O. Kresan

    Published 2024-06-01
    “…As a result of the empirical study, there were no statistically reliable patterns in the perception of works of art in the general group, but significant differences were found in the features of perception of movement and its speed in works of art by persons with different types of functional/interhemispheric brain asymmetry, which indicates a nonlinear nature of perception, and the influence of cognitive phenotypes on the perception of works of art. …”
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    Article
  20. 4980

    Prediction of Transverse Reinforcement of RC Columns Using Machine Learning Techniques by Congzhen Xiao, Baojuan Qiao, Jianhui Li, Zhiyong Yang, Jiannan Ding

    Published 2022-01-01
    “…This paper proposes a ductility design method of RC structure based on component drift ratio demand obtained from nonlinear structural dynamic analysis. To establish the best transverse reinforcement ratio prediction model for RC columns, based on an experimental database consisting of 498 columns, 12 machine learning (ML) models are trained. …”
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