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  1. 281

    Slip Effect on EMHD Tri-Hybrid Non-Newtonian Nanofluid Flow over a Porous Stretching-Slendering Sheet by Galal Moatimid, Hamed Sayed

    Published 2025-01-01
    “…Numerical simulations are performed for several physical parameter values, and the influences of numerous distributions are examined. …”
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    Article
  2. 282

    Full-Waveform Inversion of Two-Parameter Ground-Penetrating Radar Based on Quadratic Wasserstein Distance by Kai Lu, Yibo Wang, Heting Han, Shichao Zhong, Yikang Zheng

    Published 2024-11-01
    “…The least-squares method is usually used, minimizing the mismatch between the observed signal and the simulated signal. However, the cycle-skipping problem has become an urgent focus of this method because of the nonlinearity of the inversion problem. …”
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    Article
  3. 283

    Applied Mechatronics: Designing a Sliding Mode Controller for Active Suspension System by Aydin Azizi, Hamed Mobki

    Published 2021-01-01
    “…It is noteworthy that this controller has a significant ability to overcome the stochastic effects, uncertainty, and deal with nonlinear factors. To design a controller, the governing dynamical equation of the quarter-car system has been presented by considering the nonlinear terms in the springs and shock absorber, as well as taking into account the uncertainty factors in the system and the actuator. …”
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    Article
  4. 284

    Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

    Published 2025-07-01
    “…These residual sequences contain complex information that the ARIMA model fails to fully capture, providing a foundation for the subsequent nonlinear analysis. Secondly, based on the residual data left by the ARIMA model, LSTM is introduced to capture the potential complex nonlinear relationships and long-term dependencies. …”
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    Article
  5. 285

    PMSM integral sliding mode control based on improved power exponential reaching law by Weilai Shang, Hengqiang Wang

    Published 2025-07-01
    “…Abstract Permanent magnet synchronous motors are highly coupled, multivariable, and nonlinear, and sliding mode control has gradually gained traction in motor control systems due to its robustness. …”
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    Article
  6. 286

    Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method by Jinyoung Choi, Hyunjoon Jeong, Sangmin Woo, Hyungmin Cho, Yohan Kim, Jeong-Taek Kong, Soyoung Kim

    Published 2024-01-01
    “…However, the ANN-based compact model using only one set of model parameters (global-ANN) requires larger model sizes to achieve wider coverage and higher accuracy in order to capture the unpredictable nonlinearities of emerging devices. This results in reduced simulation speed and a trade-off between simulation accuracy, model coverage, and simulation speed makes it difficult to utilize ANN-based compact models in a variety of ways. …”
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    Article
  7. 287

    Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

    Published 2025-03-01
    “…The same problem is treated in this article as a classification issue. As a further step in the evaluation of the HBOA-DE-based RBFNN equalizer, three non-linear channels and adding different nonlinearities have been simulated. …”
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    Article
  8. 288

    A continual-learning-based multilayer perceptron for improved reconstruction of three-dimensional nitrate concentrations by X. Yu, X. Yu, H. Guo, J. Zhang, J. Zhang, Y. Ma, X. Wang, G. Liu, M. Xing, N. Xu, A. M. Seka, A. M. Seka, A. M. Seka

    Published 2025-06-01
    “…The proposed approach integrates the advantages of extensive spatial remote sensing observations, the precision of BGC-Argo measurements, and the broad knowledge from simulated nitrate datasets, exploiting the capacity of neural networks to model their nonlinear relationships between multisource sea surface environmental variables and subsurface nitrates. …”
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    Article
  9. 289

    Strength-constrained unit commitment in IBR dominant power systems by Yong-Kyu Kim, Sang-Ho Lee, Gyu-Sub Lee

    Published 2025-06-01
    “…The UC problem is initially formulated as a mixed-integer nonlinear programming (MINLP) model, reflecting WSCR and bus impedance matrix modification constraints. …”
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    Article
  10. 290

    Investigations of Auditory Filters Based Excitation Patterns for Assessment of Noise Induced Hearing Loss by Wisam Subhi AL-DAYYENI, Pengfei SUN, Jun QIN

    Published 2018-07-01
    “…In this study, two auditory filters, dual resonance nonlinear (DRNL) filter and rounded-exponential (ROEX) filter are applied to create two EPs, the velocity EP and the loudness EP respectively. …”
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    Article
  11. 291

    Research on an electro-mechanical braking control method for rail trains based on braking force control by WEN Tao, ZHUANG Wenjie, YAN Minjie, LIU Kai, YUAN Wenye

    Published 2024-11-01
    “…This paper proposed a control strategy using a braking force observer, with a focus to address the issues of low durability and high cost associated with pressure sensors. …”
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    Article
  12. 292

    Error Analysis and Adaptive-Robust Control of a 6-DoF Parallel Robot with Ball-Screw Drive Actuators by Navid Negahbani, Hermes Giberti, Enrico Fiore

    Published 2016-01-01
    “…Using this model, the most critical poses of the robot with respect to the kinematic mapping of the error from the joint- to the task-space are systematically investigated to obtain the workspace positional and rotational resolution, apart from control issues. Finally, a nonlinear adaptive-robust control algorithm for trajectory tracking, based on the minimization of the tracking error, is described and simulated.…”
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  13. 293

    Multiscale vortical phonons and vorticity wave vortices as coherent excitations in two-dimensional dusty plasma crystals by Wei-Shuo Lo, Chen-Yu Siao, Yi-Cheng Zhao, Lin I

    Published 2025-06-01
    “…Here, we utilize two-dimensional crystals supporting thermally excited, multiscale disordered vibrations, as a model system to address these issues. By combining two-dimensional dusty plasma crystal experiments with numerical simulations of Yukawa and Lennard-Jones crystals, we report the following observations at the discrete level: (a) multiscale vortical phonons (also named as vorticity waves, VWs), in the form of propagating vortices with alternating signs of vorticities and varying vortex shape, predominately contributed by the superposition of transverse waves, as basic cooperative acoustic vibrations; and (b) vorticity wave vortices (VWVs), where the VW crest surfaces helically wind around screw-dislocation filaments in the xyt space, as localized CEs in VWs. …”
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  14. 294

    Adaptive Fractional-Order Consensus Control of Cyber-Physical Power Systems in The Presence of Unbounded Perturbations by Mahmood Nazifi, Mahdi Pourgholi

    Published 2025-06-01
    “…CPPSs often encounter issues like faults, uncertainties, disturbances, and cyber-attacks. …”
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  15. 295

    Adaptive Neural Tracking Control of Robotic Manipulators with Guaranteed NN Weight Convergence by Jun Yang, Jing Na, Guanbin Gao, Chao Zhang

    Published 2018-01-01
    “…Although neural networks (NNs) have been used to approximate the unknown nonlinear dynamics in the robotic systems, the conventional adaptive laws for updating the NN weights cannot guarantee that the obtained NN weights converge to their ideal values, which could degrade the tracking control response. …”
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  16. 296

    Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer by Masaharu HIDA, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI

    Published 2024-10-01
    “…Obtaining characteristic values using a simulator can require significant computational resources, adding to the complexity of these issues. …”
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  17. 297

    A new approach to foam flooding modelling with novel parameter Estimation techniques by Hamed Hematpur, Seyednooroldin Hosseini, Syed Mohammad Mahmood, Reza Abdollahi, Zakaria Hamdi, Reza Ghamarpoor

    Published 2025-07-01
    “…Commercial reservoir simulators are equipped with different Dry-Out models which have two main issues; first, even for the water saturation less than the limiting value, the current models are not able to dry out the foam thoroughly, second, the data from steady-state foam flooding experiments are required to estimate the model parameters. …”
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  18. 298

    Design of a novel shunt active harmonic compensator with AUV-PQ-SRF reference current extraction, OSV-MPC and SMC techniques by Kumar Reddy Cheepati, E. Parimalasundar, K. Suresh, Marco Rivera, M. Nageswara Rao, Aravind Pitchai

    Published 2025-08-01
    “…The accuracy, robustness, and response time issues with traditional methods are addressed by the suggested approach. …”
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    Article
  19. 299

    Adaptive Parameter Approaching Law-Based Sliding Mode Control for Wheeled Robots by Ming Hou, Limeng Jia, Zhengqin Wang

    Published 2025-01-01
    “…A method combining adaptive parameter approaching law with Radial Basis Function (RBF) neural network hierarchical sliding mode control is proposed to address the issues of low accuracy and significant oscillations during the trajectory tracking process of wheeled inverted pendulum robots (WIPR) with nonlinear underactuation characteristics. …”
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  20. 300

    Design of a novel robust adaptive fractional-order model predictive controller for boost converter using grey wolf optimization algorithm by Chao Peng, Seyyed Morteza Ghamari, Hasan Mollaee, Omid Rezaei

    Published 2025-07-01
    “…Abstract Boost converters play a crucial role in power electronics but present control challenges due to their non-minimum phase behavior and nonlinear dynamics at high switching frequencies. To address these issues, this work proposes a Fractional-order adaptive Model Predictive Control (FO-MPC) framework incorporating Exponential Regressive Least Squares (ERLS) for system identification. …”
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    Article