Adaptive Voltage Control for DC Motors of Omnidirectional Mobile Robot With Prevent Wheel Slippage by Hoa Thi Truong

“…However, precise control of these systems remains challenging due to the nonlinear traction dynamics between the wheels and the ground, leading to slipping and instability, mainly when operating in changing surface conditions or sudden movements. …”
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Connection looseness detection of steel grid structures using piezoceramic transducers by Shi Yan, Weiling Liu, Gangbing Song, Putian Zhao, Shuai Zhang

“…Piezoceramic patch arrays bonded on the surface of grid members are used as transducers to generate and receive detection guided waves, and external torques are applied to indirectly simulate the bolt-sphere joint looseness effect. The experimental results show that the bolt-sphere joint looseness impact on the ultrasonic wave energy attenuation has a nonlinear regularity. …”
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Optimized Coupling Coil Geometry for High Wireless Power Transfer Efficiency in Mobile Devices by Fahad M. Alotaibi

“…This work introduces a WPT system with a performance-driven coil design aimed at maximizing magnetic coupling and mutual inductance between the transmitting (Tx) and receiving (Rx) coils in mobile devices. Due to the nonlinear behavior of magnetic flux and the high computational cost of simulations, exploring the full design space for coils using ANSYS Maxwell becomes impractical. …”
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Research Advances in Large Deformation Analysis and Applications of the Material Point Method by Changhong Zhou, Qing Zhong, Xuejiao Zhou, Xionghua Wu, Shiyi Chen

“…Large deformation analysis is a crucial foundation for studying the nonlinear behavior and progressive damage of materials and structures. …”
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Adaptive Artificial Neural Network-Based Proportional Integral Controllers and Extremum Seeking Energy Optimizer for Wind Systems by Hassan Rafia, Hamid Ouadi, Brahim Elbhiri

“…However, their effectiveness deacreases when applied to nonlinear systems, such as Wind Energy Systems (WES) based on Doubly-Fed Induction (DFIG). …”
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Enhancing operational planning of active distribution networks considering effective topology selection and thermal energy storage by Vineeth Vijayan, Ali Arzani, Satish M. Mahajan

“…The mixed-integer nonlinear programming problem is solved using a Pareto-based multi-objective particle swarm optimization (MOPSO) method. …”
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Coordinated Reentry Guidance with A* and Deep Reinforcement Learning for Hypersonic Morphing Vehicles Under Multiple No-Fly Zones by Cunyu Bao, Xingchen Li, Weile Xu, Guojian Tang, Wen Yao

“…Hypersonic morphing vehicles (HMVs), renowned for their adaptive structural reconfiguration and cross-domain maneuverability, confront formidable reentry guidance challenges under multiple no-fly zones, stringent path constraints, and nonlinear dynamics exacerbated by morphing-induced aerodynamic uncertainties. …”
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Physics-Informed Surrogate Modelling in Fire Safety Engineering: A Systematic Review by Ramin Yarmohammadian, Florian Put, Ruben Van Coile

“…Surrogate modelling is increasingly used in engineering to improve computational efficiency in complex simulations. However, traditional data-driven surrogate models often face limitations in generalizability, physical consistency, and extrapolation—issues that are especially critical in safety-sensitive fields such as fire safety engineering (FSE). …”
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Data-driven reverse engineering of signaling pathways using ensembles of dynamic models. by David Henriques, Alejandro F Villaverde, Miguel Rocha, Julio Saez-Rodriguez, Julio R Banga

“…As a consequence, there is a pervasive lack of identifiability. To overcome these issues, we present a methodology called SELDOM (enSEmbLe of Dynamic lOgic-based Models), which builds an ensemble of logic-based dynamic models, trains them to experimental data, and combines their individual simulations into an ensemble prediction. …”
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Optimizing Radial Distribution Network Performance Through Microgrid Integration Using a Hybrid PSO-HSA Algorithm by Demsew Mitiku Teferra, Livingstone M. H. Ngoo, George N. Nyakoe

“…Radial power distribution systems, characterized by long feeders and time-varying, nonlinear loads, are primary sources of inefficiency, poor power quality, and stability issues within the distribution network. …”
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Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems by Van Hien Nguyen, Kyoung Kwan Ahn

“…Subsequently, a hybrid BWO-enhanced LSTM-RF system is deployed to capture complex nonlinear patterns, improving the accuracy of motion trajectory predictions. …”
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An optimized shunt active power filter using the golden Jackal optimizer for power quality improvement by Derradji Bakria, Abdelkader Azzeddine Laouid, Belkacem Korich, Abdelkader Beladel, Ali Teta, Ridha Djamel Mohammedi, Salah K. Elsayed, Enas Ali, Dessalegn Bitew Aeggegn, Sherif S. M. Ghoneim

“…Abstract Integration of nonlinear loads in modern power systems has led to many issues arising mainly due to the generation of harmonic currents and the presence of reactive power, both having adverse effects on power quality and grid stability. …”
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Implementation of Power Efficient Flash Analogue-to-Digital Converter by Taninki Sai Lakshmi, Avireni Srinivasulu, Pittala Chandra Shaker

“…The proposed 5-bit flash ADC is designed using Cadence 180 nm CMOS technology with a supply rail voltage typically ±0.85 V. The simulation results include a total power dissipation of 46.69 mW, integral nonlinearity (INL) value of −0.30 LSB and differential nonlinearity (DNL) value of −0.24 LSB, of the flash ADC.…”
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Multi-input PINN Surrogate Model for Digital Twin of Lead-cooled Fast Reactor Main Pump by GUO Yiwen, LI Liangxing, XIANG Zutao, GUI Jiabin, SHI Shang, LEI Zhenxin, XU Xiangyang

“…Currently, the design of MCP for LFR heavily relies on extensive numerical simulations, requiring the generation of high-quality meshes and the discretization of governing equations for computation. …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…However, temporal records often encounter issues such as missing measurements. The aim of this study was to evaluate the performance of alternative multivariate procedures for principal component analysis (PCA), using the Nonlinear Iterative Partial Least Squares (NIPALS) and Expectation-Maximization (EM) algorithms, for imputing missing data in time series of meteorological variables. …”
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Verification of fast ion and rotation effects on turbulence through comparison of GENE and CGYRO with L-mode plasmas in KSTAR by Donguk Kim, Taeuk Moon, Choongki Sung, Eisung Yoon, Sumin Yi, Jisung Kang, Jae-Min Kwon, Tobias Görler, Emily Belli, Jeff Candy

“…Phys. 324 73–93), using L-mode plasma profiles from KSTAR for local linear and nonlinear electromagnetic simulations. The focus is on the impact of fast ions and rotation effects on energy flux, aiming to identify the similarities and differences between these codes in the context of turbulence transport research. …”
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Research on Parameter Tuning of Electro-Hydrostatic Actuator Position Sliding Mode Controller Based on Enhanced Dynamic Sand Cat Search Optimization Algorithm by Weibo Li, Shuai Cao, Xiaoqing Deng, Junjie Chen, Hao Zhang

“…This paper proposes an Enhanced Dynamic Sand Cat Search Optimization algorithm (EDSCSO) designed to address the high-order nonlinearities and strong coupling issues in the parameter tuning of the position sliding mode controller for electro-hydrostatic actuators (EHAs). …”
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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…While ensuring reliability, EM simulations are time-consuming, leading to high costs associated with EM-driven procedures like parametric optimization or statistical design. …”
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Artificial Neural Network-Based Deadbeat Predictive Current Control with Dead-Time Compensation for PMSMs by amira amira Slimani, Amor Bourek, Abdelkarim Ammar, Khoudir Kakouche, Wassila Hattab, Marah Bacha

“…However, achieving precise velocity regulation remains challenging due to the nonlinearities introduced by two-level voltage source inverter (2L-VSI). …”
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Observer-Based Remote Conductivity Variable-Parameter Sliding Mode Control for Water–Fertilizer Integration Machines Using Recursive Least Squares Adaptive Estimation by Peng Zhang, Zhigang Li, Xue Hu, Lixin Zhang

“…In remote conductivity control for water–fertilizer integration systems, challenges such as long-distance nonlinearities and variable parameters can lead to fertilization inaccuracies, including over-irrigation and uneven distribution, affecting both productivity and environmental sustainability. …”
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