A hybrid renewable energy system with advanced control strategies for improved grid stability and power quality by Marwa Ben Slimene, Mohamed Arbi Khlifi

“…These challenges stem from the nonlinear characteristics, intermittent nature, and inherent uncertainties of RESs. …”
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Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance by Mostafa Jabari, Davut Izci, Serdar Ekinci, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…Abstract Switched reluctance motors (SRMs) are favored in industrial applications for their durability, efficiency, and cost-effectiveness, yet face challenges such as torque ripple and nonlinear magnetic behavior that limit their precision in control tasks. …”
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Underwater Manipulator Linear Active Disturbance Rejection Control Based on Hierarchical Cascaded Linear Extended State Observer by Yulong Xu, Kailan Gao, Xuelin Wang, Qian Li, Changlin Wang, Peng Wang

“…Addressing the challenges of strong coupling, nonlinearity, and time-varying characteristics in underwater manipulator systems, along with the inevitable environmental disturbances such as gravity, buoyancy, and hydrodynamic forces that reduce system state convergence speed and affect control performance, an underwater manipulator dynamic model integrating the Lagrange equation, Morison equation, and nonlinear friction forces is built. …”
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An Application of Quasi Newton Algorithm and Improvement of Sliding Surface for Robot Control by Chi-Ngon Nguyen, Thanh Tung Pham

“…Regarded as the most well-liked and effective method for resolving unconstrained optimization issues is the Quasi Newton algorithm. The radial basis function neural network (RBF-NN), which approximates the nonlinear elements in the sliding mode controller, is trained using this approach. …”
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Effect of Dynamic Stress Produced by Rock Blasting on the Optimal Dimensioning of Room and Pillars in Horizontal Layers by Alcides Eloy Cano Nunez, Carlos Enrique Arroyo Ortiz, José Margarida da Silva

“…The numerical modeling is performed using nonlinear mathematical programming and simulation with FLAC 3D (Fast Lagrangian Analysis of Continua in 3D). …”
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Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning by Jingjing Liu, Lei Xu, Le Ma, Nengcheng Chen

“…To deepen the understanding of population mobility issues, this study presents GraviGBM, an expandable population mobility simulation model that combines the gravity model with machine learning, significantly enhancing simulation accuracy. …”
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Research on End-Effector Position Error Compensation of Industrial Robotic Arm Based on ECOA-BP by Wenping Xiang, Junhua Chen, Hao Li, Zhiyuan Chai, Yinghou Lou

“…Industrial robotic arms are often subject to significant end-effector pose deviations from the target position due to the combined effects of nonlinear deformations such as link flexibility, joint compliance, and end-effector load. …”
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Exploring New Boundaries to Mitigate Structural Vibrations of Bridges in Seismic Regions: A Smart Passive Strategy by Giuseppe Maddaloni, Nicola Caterino, Gianluca Nestovito, Antonio Occhiuzzi

“…It is based on the results of several nonlinear dynamic simulations performed using natural earthquakes and on the use of a multicriteria decision-making procedure. …”
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Comprehensive Phasor Domain Short Circuit Analysis of Bulk Power Transmission Systems in Presence of Inverter-Based Resources by Dol Raj Kunwar, Sukumar Brahma

“…However, due to the highly nonlinear, current-limited, and proprietary behavior of controllers dictating the response of renewable sources to faults in the power grid, this model breaks down. …”
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Controller Design for Roll Motion of a Planing Hull From a Safe Transportation Perspective by Hakan Demirel, Fuat Alarçin

“…The issue of safe navigation in the maritime sector is becoming more important day by day. …”
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Impact of Multiple Operating Parameters Interactions on Load Swing of Tower Cranes by Peijin Liu, Chong Zhao, Yu Sun, Xinhui Zhang

“…The mechanisms and interactive effects of multiple operating parameters of tower cranes on load swing are not yet clear, which leads to the exacerbation of load swing during the lifting process due to improper control parameter settings. To address this issue, this paper establishes an electromechanical rigid-flexible coupling (EMRFC) model for tower cranes to accurately simulate the characteristics of load swing caused by flexible transmission and electromechanical nonlinear coupling. …”
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Sheath Voltage Limiter Defects Detection Method Based on Harmonic Phasor Differences of Sheath Current for Cross-Bonded HV Cable by Hao Hu, Jing Tu, Yongheng Ai, Zhanran Xia, Ruoxin Song, Bin Yang, Xinyun Gao, Zhi Li, Fuyuan Liu, Hang Wang

“…By establishing a frequency-domain equivalent model of cross-bonded HV cables combined with SVL nonlinear resistance characteristics, harmonic currents under defect conditions are treated as harmonic sources injected into the sheath loop. …”
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Impact of Wall Impedance Phase Angle on Indoor Sound Field and Reverberation Parameters Derived from Room Impulse Response by Mirosław Meissner, Tomasz G. Zieliński

“…This effect was found to be due to a change in modal frequencies as a result of an increase or decrease in the phase angle. Simulations have demonstrated that surface distributions of decay times are highly irregular, while a much greater range of the early decay time compared to the reverberation time range indicates that a decay curve is nonlinear. …”
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Estimating within-stride metabolic cost from stride-average data using autoencoders and expander networks by Manal Mustafa, Alex C. Dzewaltowski, Alex C. Dzewaltowski, Philippe Malcolm, Keegan J. Moore, Keegan J. Moore

“…The networks are trained using ten different metabolic cost models generated by a computational walking model that simulates the gait cycle subjected to 35 different robotic perturbations without using experimental input data. …”
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Solving UAV 3D Path Planning Based on the Improved Lemur Optimizer Algorithm by Haijun Liang, Wenhai Hu, Ke Gong, Jie Dai, Lifei Wang

“…The Improved Lemur Optimization algorithm was tested using the CEC2017 benchmark set, assessing its search capability, convergence speed, and accuracy. The simulation results show that ILO generates high-quality, smooth paths with fewer iterations, overcoming the issues of premature convergence and insufficient local search ability in traditional genetic algorithms. …”
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Reliability Analysis of Complex Structures Under Multi-Failure Mode Utilizing an Adaptive AdaBoost Algorithm by Feng Zhang, Zijie Qiao, Yuxiang Tian, Mingying Wu, Xiayu Xu

“…A reliability analysis can become intricate when addressing issues related to nonlinear implicit models of complex structures. …”
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Rigid–Flexible Coupled Dynamics Modeling and Trajectory Compensation for Overhead Line Mobile Robots by Guanghong Tao, Yan Li, Fen Wang, Wenlong Pan, Guoqiang Cao

“…Overhead line mobile robot systems show a complex nonlinear coupled vibration problem. To simplify the flexible environment, it is modeled as a single-degree-of-freedom spring–damped system. …”
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Towards sustainable energy futures: multi-objective policy framework for integrating high penetration of renewable energy sources into energy systems by Farnam Dehghani, Mohammad Agha Shafiyi

“…Integrating renewable energy is crucial for addressing climate change, environmental issues, and the need for sustainable development. …”
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Data-Driven Robust Attitude Tracking Control of Unmanned Underwater Vehicles with Performance Constraints by He-Ning Zhang, Run-Ze Chen, Zi-Yi Liu, Zhi-Fu Zhang, Yi-Zhe Huang

“…This paper studies the data-driven attitude tracking control issue for an unmanned underwater vehicle (UUV) with disturbances. …”
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Model Predictive Control with Optimal Modelling for Pneumatic Artificial Muscle in Rehabilitation Robotics: Confirmation of Validity Though Preliminary Testing by Dexter Felix Brown, Sheng Quan Xie

“…The physical compliance and lightweight nature of PAMs make them desirable for use in the field but also introduce nonlinear dynamic properties which are difficult to accurately model and control. …”
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