Finite-Time Control for a Coupled Four-Tank Liquid Level System Based on the Port-Controlled Hamiltonian Method by Tao Xu, Haisheng Yu, Jinpeng Yu

“…This work investigates the finite-time control problem for a nonlinear four-tank cross-coupled liquid level system by the port-controlled Hamiltonian (PCH) model. …”
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Kinematics Analysis of a 2PRP_aU-2PSS Parallel Mechanism by Zheng Xin, Du Li, Che Linxian, Li Jie, Huang Xin, Lu Jiahong, Yi Hongyu

“…The mathematical models of displacement and orientation, velocity and acceleration analysis are derived by utilizing the vector method. Meanwhile, the nonlinear equations of forward displacement are transformed into one-dimensional equation, thus using the improved grey wolf optimization algorithm to solve this problem. …”
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Numerical modelling of intergranular fracture in polycrystalline materials and grain size effects by M. Paggi, P. Wriggers

“…In this paper, the phenomenon of intergranular fracture in polycrystalline materials is investigated using a nonlinear fracture mechanics approach. The nonlocal cohesive zone model (CZM) for finite thickness interfaces recently proposed by the present authors is used to describe the phenomenon of grain boundary separation. …”
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OPTIMIZATION OF REDUCER OF VERTICAL BUCKET ELEVATOR BASED ON IMPROVED NORTHERN GOSHA WK OPTIMIZATION by LIU Ling, JIANG QuanXin

“…In order to obtain the optimal solution of reducer efficiently, an improved northern goshawk optimization algorithm based on sprint decisive strategy is proposed. Two classical nonlinear constrained engineering examples of pressure vessel and cantilever beam are used to verify the performance of the improved northern goshawk algorithm. …”
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Fixed-Time Trajectory Tracking Control of Autonomous Surface Vehicle with Model Uncertainties and Disturbances by Jiawen Cui, Haibin Sun

“…By combining the FTDO and ISMC techniques, a new control scheme (FTDO-ISMC) is developed, which can achieve both disturbance compensation and chattering-free condition. (3) Aiming at reconstructing the unknown nonlinear dynamics and external disturbances, a fixed-time unknown observer (FTUO) is proposed, thus providing the FTUO-ISMC scheme that finally achieves trajectory tracking of ASVs with unknown parameters. …”
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A Class of Three-Step Derivative-Free Root Solvers with Optimal Convergence Order by F. Soleymani, S. Karimi Vanani, M. Jamali Paghaleh

“…To test the derived methods from the class, we apply them to a lot of nonlinear scalar equations. Numerical examples suggest that the novel class of derivative-free methods is better than the existing methods of the same type in the literature.…”
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Vibration Characteristic Analysis of Spur Gear System with Coupled Damage by Li Xike Wang Jian Chen Tao Zhang Jun

“…As a conventional form of gear failure，crack-wear coupled damage dramatically changes the vibration characteristics of a gear transmission system .In order to verify the influences of the coupled damage on the vibration characteristics of the transmission system，a dynamics model of spur gear transmission system，in which included the effect of crack and wear，is established，and its vibration analysis is carried out. Firstly，the nonlinear dynamics model of spur gear transmission system is established by means of lumped parameter method，the influence of tooth crack on mesh stiffness of gear pair is analyzed based on potential energy method. …”
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Influence of Soil-Structure Interaction on the Seismic Response of a Continuous Bridge with Friction Pendulum System by Bing Li, Chong Fu, Guolong Liu, Wei Wei, Junfa Duan, Bin Wang

“…SSI was modelled using the soil resistance vs deflection nonlinear springs (following p-y curves). The influence of SSI on the dynamic behaviour and the seismic response of isolated bridges with different friction coefficients of FPS were investigated using six measured ground motions. …”
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Crashworthiness Design for Bionic Bumper Structures Inspired by Cattail and Bamboo by Tao Xu, Nian Liu, Zhenglei Yu, Tianshuang Xu, Meng Zou

“…In this study, we evaluated the bionic bumper structure models by using nonlinear finite element (FE) simulations for their crashworthiness under full-size impact loading. …”
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Insect visual system inspired small target detection for multi-spectral remotely sensed images by HUANG Feng-chen1, LI Min1, SHI Ai-ye1, TANG Min1, XU Li-zhong1

“…Most existing target detection algorithms for multi-spectral remotely sensed images dependent on the background model or prior knowledge of spectral,so the false alarm rate of detection algorithms would be enhanced by clutter background and little prior information.Inspired by small target detection neurons of the insect visual system,a bionic small target detection model and its corresponded detection method were proposed for multi-spectral remotely sensed images.Based on the nonlinear filtering characteristic of neural cell which is sensitive to transient signals,target detection was completed by suppressing the local background texture and enhancing target feature.Experimental results showed that the proposed method can detect target with stable low false alarm rate under the condition of complexity background.Meanwhile,the proposed method can balance the contradictory relationship between spatial resolution and background complexity.Compared with existing target detection algorithms,it was simple and easy to be completed.…”
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Prediction of the waterborne navigation density based on the multi-feature spatio-temporal graph convolution network by Wei DONG, Leilei ZHANG, Ziheng JIN, Wei SUN, Junbo GAO

“…In the face of the development of the information technology in the port and waterway,the Internet of things (IoT) technology can help to build China’s water transport perception network.The big data analysis of the waterborne transport has become a hot topic for researchers and practitioners in the field of transportation.The navigation density of each port in the water transportation is nonlinear and spatio-temporal correlation,so it is a great challenge to accurately predict it.A multi-feature spatiotemporal graph convolution network (MFSTGCN) was proposed to solve the problem of the traffic density prediction.MFSTGCN effectively captured the spatial-temporal correlation of the ship navigation density data by using the spatial convolution and temporal convolution through three features,which were navigation volume,average ship speed and ship density.The experiment was carried out on the automatic identification system (AIS) data set collected from a shipping platform.The results show that the prediction effect of the MFSTGCN model is better than the spatio-temporal graph convolution network (STGCN) model.…”
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Distributed Approximating Functional Approach to Burgers’ Equation using Element Differential Quadrature Method by M Vaghefi, H Rahideh, MR Golbaher Haghighi, AK Manshad

“… This paper presents a computationally efficient and an accurate methodology in differential quadrature element method (EDQM) analysis of the nonlinear one-dimensional Burgers’ equation. Based on this approach, the total spatial and temporal domain is divided into a set of sub-domain and in each sub-domain, the DQ rule is employed to discretize the spatial and temporal domain derivatives. …”
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Contact Analysis of Sprag-type Overrunning Clutches by Yang Hongtu, Gao Peng, Yan Weiping, Wang Yonghui, Yang Min

“…The results show that both rolling and sliding occur when friction is considered, the contact stress between sprags and races is elliptically distributed with a large eccentricity, the contact stress is distributed in the parabolic shape along the length of the sprags, maximum contact stress couldn't reflect the effects of torque on contact stress, the torque transmitted beyond the clutch is positively correlated with its torsion angle, the coefficient of friction doesn't affect the maximum contact stress and the torsion angle of the clutch, the coefficient of friction is nonlinear with the sliding distance and linear with the maximum friction stress.…”
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Numerical Simulation Method Study of Rock Fracture Based on Strain Energy Density Theory by Shuchen Li, Luchen Zhang, Qian Sun, Ma Tengfei

“…Many numerical methods are carried out to study the nonlinear failure behaviors of the rock; however, the numerical simulation methods for the failed rock are still in the research stage. …”
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A Novel Picture Fuzzy n-Banach Space with Some New Contractive Conditions and Their Fixed Point Results by Awais Asif, Hassen Aydi, Muhammad Arshad, Zeeshan Ali

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Fully Integrated Memristor and Its Application on the Scroll-Controllable Hyperchaotic System by Jie Jin, Li Cui

“…Based on the fully integrated memristor, a scroll-controllable hyperchaotic system is presented. By controlling the nonlinear function with programmable switches, the memristor-based hyperchaotic system achieves controllable scroll numbers. …”
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CMAIS-WOA: An Improved WOA with Chaotic Mapping and Adaptive Iterative Strategy by Chao-Hsien Hsieh, Qing Zhang, Ya Xu, Ziyi Wang

“…In addition, CMAIS-WOA uses an improved nonlinear convergence factor to adjust the breadth-first and depth-first search during the optimization process. …”
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Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment by Sen Li, Xiaojing Chen, Rongxi He

“…To resolve this problem, we define two robust cyclic correlation functions which are derived from robust statistics property of the correntropy and the nonlinear transformation, respectively. The MUSIC algorithm with the robust cyclic correlation matrix of the received signals of arrays is then used to estimate the direction of cyclostationary signal in the presence of impulsive noise. …”
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Pinning in High-Tc Superconductors by Ernst Helmut Brandt

“…At lower T, ρ(J) is highly nonlinear, since the pinning energy increases with decreasing J. …”
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Prediction of optimal growth parameters of barley seedling based on Kalman filter and multilayer perceptron by Yunlong HUANG, Zhengquan LI, Yujia SUN

“…In order to improve the quality and planting efficiency of barley seedlings in the growth chamber, the Kalman filter algorithm was firstly used to process the data collected by the sensor, which effectively reduced the influence of environmental factors and the error of the sensor itself, improved the accuracy of the collected data, and ensured the precise control in the growth chamber and accurate test data.Then multiple nonlinear regression, radial basis function and multilayer perceptron neural network were used to analyze the average growth height, seedling weight and seed weight of barley seeds about 160 hours after germination under different conditions.The drying ratio was analyzed and compared.The results show that the multi-layer perceptron network model fits the data best.Using this model to predict the average height of barley seedlings and the ratio of seedling weight of barley seedlings in the optimal environment is basically consistent with the actual planting effect, which provides a certain reference for the planting of barley seedlings in the growth chamber.…”
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