Energy Management of Plug-In Hybrid Electric Vehicles for Autonomous Driving in a Following Environment Based on Fuzzy Adaptive PID Control by Jixin Wang, Yujin Zhou

“…The Cuckoo search algorithm is selected for its exceptional global search capability and adaptive optimization characteristics, which facilitate its effective resolution of intricate nonlinear optimization issues, such as the energy management strategy in plug-in hybrid electric vehicles. …”
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Fixed Point Results for Almost Contraction Mappings in Fuzzy Metric Space by Raghad I. Sabri, Buthainah A. A. Ahmed Ahmed

“…Then the concept of simulation function is given. The concept of simulation function is used to present the notion of almost -contraction mapping. …”
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Parameter Optimization Method for Predictor–Corrector Guidance With Impact Angle Constraint by Xinwan Kong, Cheng Zhang

“…It requires a significant amount of time for comprehensive testing to verify its reliability, lacking a theoretical basis for stability and robustness analysis. In this paper, a nonlinear model is proposed to describe the prediction process. …”
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opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization by Yexiang Yan, Yazhou Xie

“…In addition, it integrates adaptive iteration algorithms to improve convergence issues in nonlinear static and dynamic response analyses. …”
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Simplified Adaptive Robust Motion Control with Varying Boundary Discontinuous Projection of Hydraulic Actuator by Cungui Yu, Xianwei Qi

“…The recently developed adaptive robust control theory is used to handle the nonlinearities and modelling uncertainties in hydraulic systems. …”
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Correlation Analysis of Surplus Labor Transfer and Economic Growth Based on STR Model by Zehui Yu, Yiming Li, Liru Bai

“…For a long time, the research on the relationship between economic growth and the transfer of surplus labor has been the focus and hot issue of all kinds of people. As a model that can describe the nonlinear transformation between different states of variables in detail, the STR model is the Frontier and hot topic of nonlinear time series analysis. …”
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Evolution Patterns of Frost-Heaving Pressure with Partial Ponding in Cold Region Tunnels by Xinyu Zheng, Fei Xu, Songtao Shi, Yang Gao, Qi Li

“…The calculation of the frost-heaving pressure is one of the key issues in the frost-resistant design of tunnels in cold regions. …”
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Improving Power Quality of a Hybrid Grid-Connected Photovoltaic–Wind Microgrid Using Shunt Active Power Filter and Distribution Static Synchronous Compensator by Ehsan Akbari, Abbas Zare Ghaleh Seyyedi

“…Single- and two-phase loads and short circuit can make unbalanced voltage. Besides, nonlinear loads create harmonic components in the grid. …”
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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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Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems by J. J. Rath, K. C. Veluvolu, M. Defoort

“…Simulation results with Ford Fiesta MK2 demonstrate the effectiveness of the proposed observer for state and unknown input estimation for nonlinear active suspension system.…”
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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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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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Study on negative friction of pile foundation in homogeneous layered soil in collapsible loess area by Zhiquan Wang, Liangliang Xin, Shuaihua Ye, Jian Wu, Weina Ye, Jingbang Li

“…A three-linear hardening model was selected to simulate the pile–soil interface interaction. By considering the boundary conditions, the pile side friction resistance, axial force, and pile displacement were calculated, and the nonlinear patterns of load transfer for single piles in layered soil foundations were obtained. …”
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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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A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm by Ke Wang, Guolin Liu, Qiuxiang Tao, Luyao Wang, Yang Chen

“…Light detection and ranging (LiDAR) is commonly used to create high-resolution maps; however, the efficiency and convergence of parameter estimation are difficult. To address this issue, we evaluated the structural characteristics of received LiDAR signals by decomposing them into Gaussian functions and applied the variable projection algorithm of the separable nonlinear least-squares problem to the process of waveform fitting. …”
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Enhanced Power Quality Control in Grid Tied PVG-UAPF Systems Using a Modified Second Order Generalized Integrator and Notch Filter by K. M. Sanjeeva Kumar, Satyajit Das

“…Modern electrical distribution networks encounter significant challenges due to DC offsets, harmonics from nonlinear loads, and distorted grid voltages. These issues lead to increased total harmonic distortion (THD), reduced power factor, degraded power quality, and potential instability. …”
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Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

“…The adaptive gating mechanism, hierarchical nonlinear transformation, and effective capture of temporal dynamics in the LSTM significantly enhance the model’s ability to model complex nonlinear patterns. …”
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Fuzzy Modeling and Control for a Class of Inverted Pendulum System by Liang Zhang, Xiaoheng Chang, Hamid Reza Karimi

“…Focusing on the issue of nonlinear stability control system about the single-stage inverted pendulum, the T-S fuzzy model is employed. …”
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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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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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