Load Deflection Analysis of Beam-Column using Total Potential Energy (TPE) Principle by Manar A. Al-Fadul, Haider H. Darwash, Furat Y. Al-Ghalibi

“…The proposed approach utilizes the energy principal method and takes into account the geometric nonlinearity including the effects of axial force on bending stiffness, the end moments on axial stiffness (bowing), and the initial imperfection. …”
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Real time SOC estimation for Li-ion batteries in Electric vehicles using UKBF with online parameter identification by Selvarani Nachimuthu, Faisal Alsaif, Gunapriya Devarajan, Indragandhi Vairavasundaram

“…Thevenin 2RC battery model is used to captures the nonlinear relationship between the battery’s voltage, current, and SOC. …”
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Research on Adaptive Friction Compensation of Digital Hydraulic Cylinder Based on LuGre Friction Model by Shouling Jiang, Kun Zhang, Hui Wang, Donghu Zhong, Jinpeng Su, Zengkai Liu

“…This paper aims to eliminate nonlinear friction from the performance of the digital hydraulic cylinder to enable it to have good adaptive ability. …”
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Seismic Response of 3D Steel Buildings considering the Effect of PR Connections and Gravity Frames by Alfredo Reyes-Salazar, Edén Bojórquez, Achintya Haldar, Arturo López-Barraza, J. Luz Rivera-Salas

“…The nonlinear seismic responses of 3D steel buildings with perimeter moment resisting frames (PMRF) and interior gravity frames (IGF) are studied explicitly considering the contribution of the IGF. …”
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Analytical Simulation of 3D Wind-Induced Vibrations of Rectangular Tall Buildings in Time Domain by Iván F Huergo, Hugo Hernández-Barrios, Roberto Gómez-Martíne

“…The Monte Carlo simulation method for along-wind loads on tall buildings performed in the time and space domain may be the only analytical viable option for specific problems such as nonlinearity behavior, nonclassically damping, and detailed structural models in commercial software. …”
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Crystal growth, structural phase transitions and optical gap evolution of FAPb(Br1-x Cl x )3 hybrid perovskites (FA: formamidinium ion, CH(NH2)2 +) by Carlos A. López, Oscar Fabelo, Carmen Abia, María T. Fernández-Diaz, José A. Alonso

“…The band-gap engineering brought about by the chemical doping of FAPb (Br1-x Cl x )3 perovskites (x = 0.0, 0.33, 0.5, 0.66 and 1.0) can be controllably tuned: the gap progressively increases with the concentration of Cl− ions from 2.17 to 2.91 eV at room temperature, presenting a nonlinear behavior. This study provides an improved understanding of the structural and optical properties of these appealing hybrid perovskites.…”
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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

“…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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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

“…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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Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration by Qiang Gao, Yuanlong Hou, Kang Li, Zhan Sun, Chao Wang, Runmin Hou

“…In the NNADRC, the radial basis function (RBF) neural network is employed for online updating of parameters of the extended state observer (ESO). Thereby, the nonlinear behavior and external disturbance of the system can be accurately estimated and compensated in real time. …”
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Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

“…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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Cascade Delayed Controller Design for a Class of Underactuated Systems by G. Ochoa-Ortega, R. Villafuerte-Segura, A. Luviano-Juárez, M. Ramírez-Neria, N. Lozada-Castillo

“…In this paper, a delayed control strategy for a class of nonlinear underactuated fourth-order systems is developed. …”
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Thermal Behavior of Cylindrical Buckling Restrained Braces at Elevated Temperatures by Elnaz Talebi, Mahmood Md. Tahir, Farshad Zahmatkesh, Airil Yasreen, Jahangir Mirza

“…The primary focus of this investigation was to analyze sequentially coupled nonlinear thermal stress, using a three-dimensional model. …”
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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

“…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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Robust reinforcement learning algorithm based on pigeon-inspired optimization by Mingying ZHANG, Bing HUA, Yuguang ZHANG, Haidong LI, Mohong ZHENG

“…Reinforcement learning(RL) is an artificial intelligence algorithm with the advantages of clear calculation logic and easy expansion of the model.Through interacting with the environment and maximizing value functions on the premise of obtaining little or no prior information, RL can optimize the performance of strategies and effectively reduce the complexity caused by physical models .The RL algorithm based on strategy gradient has been successfully applied in many fields such as intelligent image recognition, robot control and path planning for automatic driving.However, the highly sampling-dependent characteristics of RL determine that the training process needs a large number of samples to converge, and the accuracy of decision making is easily affected by slight interference that does not match with the simulation environment.Especially when RL is applied to the control field, it is difficult to prove the stability of the algorithm because the convergence of the algorithm cannot be guaranteed.Considering that swarm intelligence algorithm can solve complex problems through group cooperation and has the characteristics of self-organization and strong stability, it is an effective way to be used for improving the stability of RL model.The pigeon-inspired optimization algorithm in swarm intelligence was combined to improve RL based on strategy gradient.A RL algorithm based on pigeon-inspired optimization was proposed to solve the strategy gradient in order to maximize long-term future rewards.Adaptive function of pigeon-inspired optimization algorithm and RL were combined to estimate the advantages and disadvantages of strategies, avoid solving into an infinite loop, and improve the stability of the algorithm.A nonlinear two-wheel inverted pendulum robot control system was selected for simulation verification.The simulation results show that the RL algorithm based on pigeon-inspired optimization can improve the robustness of the system, reduce the computational cost, and reduce the algorithm’s dependence on the sample database.…”
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Dynamic Response of a Casting Crane Rigid-Flexible Coupling System to High Temperature by Yunsheng Xin, Qing Dong, Qisong Qi, Qinglu Shi

“…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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Modeling of Planetary Wave Influences on the Pre‐reversal Enhancement of the Equatorial F Region Vertical Plasma Drift by Y. Yamazaki, C. Diéval

“…Not only the Q6DW from below but also the Q6DW generated within the thermosphere, as well as the secondary waves due to the nonlinear interaction between the Q6DW and migrating tides, is at play. …”
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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

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

“…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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Comparative Study of Popular Objective Functions for Damping Power System Oscillations in Multimachine System by Naz Niamul Islam, M. A. Hannan, Hussain Shareef, Azah Mohamed, M. A. Salam

“…Linearized model simulations are performed to compare the dominant mode’s performance and then the nonlinear model is continued to evaluate the damping performance over power system oscillations. …”
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Analysis of Regional Economic Development Differences Based on Intelligent Hybrid Algorithm by Yanyan Li

“…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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