Investigation of Aerodynamic Characteristics of Aircrafts in a Rarefied Gas Flow Using the Moment Method by Auzhan Sakabekov, Saltanat Madaliyeva, Ryskul Yergazina

“…A one-dimensional nonstationary nonlinear moment system of equations and an approximation of Maxwell’s microscopic boundary condition will be introduced. …”
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Improved Finite Control Set Optimal Control for PMSM in Rocket Launcher Servo System by Di-fen Shi, Yuan-long Hou, Xiao-hui Gu, Run-min Hou

“…Moreover, in order to improve tracking accuracy, Taylor’s formula is used to solve the phase-lag problem of nonlinear tracking differentiator in IFCSOC. Simulation shows that compared with conventional FCSOC, IFCSOC exhibits better robustness under random disturbances. …”
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Adaptive Neural Network Motion Control of Manipulators with Experimental Evaluations by S. Puga-Guzmán, J. Moreno-Valenzuela, V. Santibáñez

“…A nonlinear proportional-derivative controller plus adaptive neuronal network compensation is proposed. …”
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Optimization Design of the New Type Double Helical Tooth Synchronous Belt and Pulley Structure Parameter by Guo Jianhua, Shao Yue, Hu Qingming, Li Dongsheng, Jiang Hongyuan

“…Based on higher order contact meshing theory of conjugate curvature,a three-dimensional model of the new type double helical tooth synchronous belt and the belt drive are established. The nonlinear finite element analysis software is used to analyze the stress and deformation of the new type double helical tooth synchronous belt and the pulley. …”
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Solving “Antenna Array Thinning Problem” Using Genetic Algorithm by Rajashree Jain, G. S. Mani

“…From a mathematical perspective this is a nonlinear, multidimensional problem with multiple objectives and many constraints. …”
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Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model by Nhat-Duc Hoang, Anh-Duc Pham, Quoc-Lam Nguyen, Quang-Nhat Pham

“…This machine learning approach is utilized to establish the nonlinear functional mapping between the compressive strength and HPC ingredients. …”
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Optical features and thermal properties of charged AdS Euler–Heisenberg black hole surrounded by perfect fluid dark matter by M. R. Shahzad, G. Abbas, Tao Zhu, R. H. Ali, Asifa Ashraf, Badr S. Al-Kahtani

“…Abstract In this article, motivated by the high interest in Euler–Heisenberg nonlinear electrodynamic theory, we investigated several thermal aspects of the charged Euler–Heisenberg black hole surrounded by perfect fluid dark matter. …”
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Articulated Arm Coordinate Measuring Machine Calibration by Laser Tracker Multilateration by Jorge Santolaria, Ana C. Majarena, David Samper, Agustín Brau, Jesús Velázquez

“…The spatial localization of a retroreflector target, placed in different positions within the workspace, is determined by means of a geometric multilateration system constructed from the four LTs. Next, a nonlinear optimization algorithm for the identification procedure of the AACMM is explained. …”
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An Iterative Technique for the Synthesis of Active Antenna Oscillator Arrays by Theodoros N. Kaifas, John N. Sahalos

“…The resulting arrays are shown to comply with the desired pattern and the nonlinear dynamics thus proving the validity of our method.…”
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Ownership Concentration and other Determinants of Covenants in Debt Contracts of Brazilian Publicly Listed Firms by Tatiana Albanez, Rafael Felipe Schiozer

“…For this purpose, we manually analyzed more than 4,000 explanatory notes for the firms’ financial statements regarding loans and financing and then applied linear and nonlinear regression models. We found that greater ownership concentration is associated with higher likelihood of the presence of covenants, corroborating the role of the ownership structure as a substitute governance mechanism that allows for aligning interests and reduces the need for using covenants. …”
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Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method by Lin Jinshan, Dou Chunhong, Zhao Guangsheng, Yin Jianhua

“…The Fourier decomposition method （FDM） is a novel method for processing non-stationary and nonlinear signals. With a firm theoretical basis,FDM has the capability for overcoming deficiencies of EMD. …”
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Empirical Mode Decomposition Combined with Local Linear Quantile Regression for Automatic Boundary Correction by Abobaker M. Jaber, Mohd Tahir Ismail, Alssaidi M. Altaher

“…Empirical mode decomposition (EMD) is particularly useful in analyzing nonstationary and nonlinear time series. However, only partial data within boundaries are available because of the bounded support of the underlying time series. …”
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Research on RNN and LSTM Method for Dynamic Prediction of Landslide Displacement by ZHANG Mingyue, LI Limin, WEN Zongzhou

“…Good landslide displacement prediction is an important part of the landslide disaster warning.Limited by the nonlinear dynamic characteristics of landslide displacement evolution,historical data is generally missing in traditional prediction methods,resulting in low prediction accuracy.To this end,this paper proposes a deep learning method for landslide displacement prediction to establish two dynamic displacement prediction models of recurrent neural network (RNN) and long short term memory network (LSTM) for comparison,and selects the displacement changes of multiple monitoring points for dynamic prediction by the method of “circulation training”,taking the Xintan landslide project as an example.The results show that when the error function meets the expected accuracy,the LSTM model has higher prediction accuracy.In addition,various evaluation indicators also show that the overall prediction effect of the LSTM model is better.…”
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Dynamic Trajectory Planning and Tracking for Autonomous Vehicle With Obstacle Avoidance Based on Model Predictive Control by Shaosong Li, Zheng Li, Zhixin Yu, Bangcheng Zhang, Niaona Zhang

“…In this study, an obstacle avoidance controller based on nonlinear model predictive control is designed in autonomous vehicle navigation. …”
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Dynamic Modeling and Simulation of a Super-High-Speed Circumferential-Flux Hysteresis Motor by A. Halvaei Niasar, M. Zare, H. Moghbelli

“…This paper presents the dynamic performance characteristics of hysteresis motors using a Matlab/Simulink software. A nonlinear mathematical model based on a d-q axis theory in the rotor reference frame is applied to study the starting and synchronization processes of a hysteresis machine with a circumferential-flux-type rotor. …”
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3D Wavelet Subbands Mixing for Image Denoising by Pierrick Coupé, Pierre Hellier, Sylvain Prima, Charles Kervrann, Christian Barillot

“…Comparison with wellestablished methods, such as nonlinear diffusion filter and total variation minimization, shows that the proposed NL-means filter produces better denoising results. …”
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Backcalculation of Finite-Element Modeling Based on Field Measurements Results of Excavation in Steel Sheet Pile Walls by Zoa Ambassa, Jean Chills Amba, Merlin Bodol Momha, Landry Djopkop Kouanang

“…The study presents a development of a nonlinear finite element calculation technique for the prediction of the stability of the multistaged deep excavation in submerged multilayered soft soil retained by steel sheet pile walls structures performed from Cast3M FE code. …”
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Emergent equilibrium and quantum criticality in a two-photon dissipative oscillator by V. Yu. Mylnikov, S. O. Potashin, G. S. Sokolovskii, N. S. Averkiev

“…We demonstrate the mapping of a two-photon quantum dissipative oscillator onto a classical equilibrium model of a nonlinear classical oscillator in a white-noise environment. …”
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Analysis of Flue Gas Emission Data from Fluidized Bed Combustion Using Self-Organizing Maps by Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Teri Hiltunen, Yrjö Hiltunen

“…The goals of the study were to find dependencies between process variables and the concentrations of gaseous emission components and to create multivariate nonlinear models describing their formation in the process. …”
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New minimum exposure path problem and its solving algorithm in wireless sensor networks by Miao YE, ping WANGYu, Cai DAI, li WANGXiao

“…To solve BPA-MEP problem, a optimization model with constraints as highly nonlinear and higher dimensional problem was tailored and established and then taking the characteristic of the distribution of the sensor nodes, a hybrid artificial bee algo-rithm was proposed to solve this complex optimization model. …”
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