An Approximate Analytical View of Fractional Physical Models in the Frame of the Caputo Operator by Mashael M. AlBaidani, Abdul Hamid Ganie, Adnan Khan, Fahad Aljuaydi

“…The physical issue is modeled using the Caputo derivative. Adomian and homotopy polynomials facilitate the handling of the nonlinear term. …”
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Cascaded Control of Flexible-Joint Robots Based on Sliding-Mode Estimator Approach by Genliang Xiong, Jingxin Shi, Haichu Chen

“…The inherent highly nonlinear coupling and system uncertainties make the controller design for a flexible-joint robot extremely difficult. …”
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Evaluation of Airport Runway Blockade Effectiveness Based on Improved Convolutional Neural Network by Cao Longping, Chen Mou, Zhou Tongle

“…In response to the inefficiency and inability to utilize image data inherent in traditional airport runway blockade effectiveness assessment methods, this paper presents an improved convolutional neural network algorithm for assessing the blockade effectiveness of airport runways. A nonlinear model is established between the damage data of the airport runway and the success of blockade, avoiding the excessive time consumption caused by direct iteration. …”
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Minimum time control for path tracking problem of intelligent vehicle handling in inverse dynamics by Shanshan Guo, Yingjie Liu

“…Firstly, a nonlinear 4-DOF vehicle model is established. Then the problem of path tracking with minimum time is transformed into an optimal control problem by the ASC method. …”
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Optimal Control of Intelligent Vehicle Path Tracking by Enhao Wang, Yingjie Liu, Chenglian Xie

“…In order to address the issue of low accuracy in traditional methods for solving intelligent vehicle path tracking problems, a fast and high-precision solution method was design. …”
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Fuzzy Consensus Cubature Information Filtering for Space Target Tracking by Xiaobo Zhang, Bing He, Gang Liu, Haoshen Lin, Zifeng Gong

“…A fuzzy distributed nonlinear state estimation issue on the possibilistic framework is investigated in this paper. …”
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Few-Shot Flood Water Level Prediction Based on Mechanistic Models and Deep Learning: A Collaborative HEC-RAS-LSTM Framework by Li Faxian, Lv Mou, Li Hang

“…High-quality hydrological data are generated through HEC-RAS to address the issue of missing observed data. And the simulation data are used to drive a neural network model (LSTM) for flood water level prediction. …”
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A Grid-Connected Solar PV/Wind Turbine Based Hybrid Energy System Using ANFIS Controller for Hybrid Series Active Power Filter to Improve the Power Quality by Pazhanimuthu Cholamuthu, Baranilingesan Irusappan, Suresh Kalichikadu Paramasivam, Senthil Kumar Ramu, Suresh Muthusamy, Hitesh Panchal, Ramakrishna S S Nuvvula, Polamarasetty P Kumar, Baseem Khan

“…The current needs of more nonlinear loads and the frequent usage of single-phase loads in three-phase system drastically create power quality issues in the grid-connected system. …”
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Design of Ice Tolerance Flight Envelope Protection Control System for UAV Based on LSTM Neural Network for Detecting Icing Severity by Ting Yue, Xianlong Wang, Bo Wang, Shang Tai, Hailiang Liu, Lixin Wang, Feihong Jiang

“…Finally, the ice tolerance flight envelope protection control law is developed, using a nonlinear dynamic inverse controller (NDIC) as the inner loop and a nonlinear model predictive controller (NMPC) as the outer loop. …”
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Hybrid Structural Reliability Analysis under Multisource Uncertainties Based on Universal Grey Numbers by Xingfa Yang, Jie Liu, Xiaoyue Chen, Qixiang Qing, Guilin Wen

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Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks by WU Mengru, KONG Yawei, HAN Huimei, LU Haiquan, SI Peiyuan, LU Weidang, GUO Lei

“…Simulation results demonstrate that the proposed scheme converges rapidly and reduces the task processing delay compared to baselines.…”
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Control of Vehicle Lateral Handling Stability Considering Time-Varying Full-State Constraints by Lizhe Wu, Dingxuan Zhao

“…Lateral handling stability control is crucial for ensuring vehicle driving safety. To address this issue, this paper proposes a lateral handling stability control method that considers time-varying full-state constraints. …”
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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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Autonomous Tracked Vehicle Trajectory Tracking Control Based on Disturbance Observation and Sliding Mode Control by Xihao Yan, Shuo Wang, Yuxin He, Aixiang Ma, Sihai Zhao

“…Utilizing sliding mode control strategies, combined with adaptive laws and nonlinear control methods, the controller effectively addresses the issue of high-frequency chattering arising from the use of signum functions, thereby enhancing the lifespan of actuators and overall system control performance. …”
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Power System State Estimation through Optimal PMU Placement and Neural Network using Whale Algorithm by SeyedHamed MirMohammadAli Roudaki, Mehrdad Abedi, Iraj Pourkeivani

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Design of Optimization Method for Light Energy Utilization in Fiber Optic Day-lighting System by WANG Yifang, JIA Xiaoyu, YU Chunrong

“…【Methods】A fiber optic probe structure is designed to address the issue of real-time alignment of sunlight, targeting the nonlinear response of zenith angle. …”
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New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse by Guohai Liu, Jun Yuan, Wenxiang Zhao, Yaojie Mi

“…This control strategy adopts the NNGI system to settle the decoupling issue and utilizes the SIM control structure to solve the delay problem. …”
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Data Assimilation Analysis of Rate- and State-Dependent 1-DOF Friction Based on a Particle Filter by Kai Xing, Shingo Ozaki

“…In various dynamic systems, accurately predicting frictional stick–slip motion is critical for maintaining stability. To address this issue, we integrated a particle filter with a rate- and state-dependent friction model to enhance the prediction of stick–slip dynamics. …”
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Error-State Kalman Filtering with Linearized State Constraints by Hoang Viet Do, Jin-woo Song

“…We further identify a special case of a nonlinear constraint where the results of the linear case remain valid. …”
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The Novel Gravity-Matching Algorithm Based on Modified Adaptive Transformed Cubature Quaternion Estimation for Underwater Navigation by Tiangao Zhu, Fangjun Qin, An Li, Kailong Li, Jiujiang Yan, Leiyuan Qian

“…The traditional Sandia inertial matching algorithm introduces linearization errors using the linear error model, which can diminish navigation accuracy. To address this issue, we propose a novel gravity-matching algorithm based on modified adaptive transformed cubature quaternion estimation (MA-TCQUE), designed for a nonlinear error model to enhance accuracy in gravity-aided navigation. …”
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