Impact of Multiple Operating Parameters Interactions on Load Swing of Tower Cranes by Peijin Liu, Chong Zhao, Yu Sun, Xinhui Zhang

“…The mechanisms and interactive effects of multiple operating parameters of tower cranes on load swing are not yet clear, which leads to the exacerbation of load swing during the lifting process due to improper control parameter settings. To address this issue, this paper establishes an electromechanical rigid-flexible coupling (EMRFC) model for tower cranes to accurately simulate the characteristics of load swing caused by flexible transmission and electromechanical nonlinear coupling. …”
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Plug-In Repetitive Control for Magnetic Bearings Based on Equivalent-Input-Disturbance by Gang Huang, Bolong Liu, Songlin Yuan, Xinyi Shi

“…The estimates of the EID are then used for feedforward compensation to address the issue of large overshoot in the system. Finally, simulations are conducted for comparison with the PID control method and PRC control method. …”
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Data-Driven Robust Attitude Tracking Control of Unmanned Underwater Vehicles with Performance Constraints by He-Ning Zhang, Run-Ze Chen, Zi-Yi Liu, Zhi-Fu Zhang, Yi-Zhe Huang

“…This paper studies the data-driven attitude tracking control issue for an unmanned underwater vehicle (UUV) with disturbances. …”
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Model Predictive Control with Optimal Modelling for Pneumatic Artificial Muscle in Rehabilitation Robotics: Confirmation of Validity Though Preliminary Testing by Dexter Felix Brown, Sheng Quan Xie

“…The physical compliance and lightweight nature of PAMs make them desirable for use in the field but also introduce nonlinear dynamic properties which are difficult to accurately model and control. …”
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Neural Network-Based State Estimation for a Closed-Loop Control Strategy Applied to a Fed-Batch Bioreactor by Santiago Rómoli, Mario Serrano, Francisco Rossomando, Jorge Vega, Oscar Ortiz, Gustavo Scaglia

“…The proposed methodology is applied to a class of nonlinear systems with three types of uncertainties: (i) time-varying parameters, (ii) uncertain nonlinearities, and (iii) unmodeled dynamics. …”
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A Finite-Time Disturbance Observer-Based Control for Constrained Second-Order Dynamical Systems and Its Application to the Attitude Tracking of a UAV by Nguyen Xuan Mung, Nguyen Huu Tiep, Loan Thi Kim Au, Nguyen Ngoc Anh, Xuan Nguyen, Nguyen Phi

“…First, to address the presence of external disturbances, a nonlinear, unknown-input observer is introduced, which provides a disturbance estimate with finite-time convergence. …”
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An Improved Kernel Entropy Component Analysis for Damage Detection Under Environmental and Operational Variations by Shuigen Hu, Jian Yang, Jiezhong Huang, Dongsheng Li, Cheng Li

“…While conventional techniques like Principal Component Analysis (PCA) and cointegration have been somewhat effective in addressing this issue, challenges such as measurement noise, nonlinear behavior, and non-Gaussian data distribution continue to affect their performance. …”
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Unraveling the challenges of phase transition and temperature-dependent thermal conductivity in the one-dimensional rotor model by Sanmei He, Jianjin Wang

“…Furthermore, we find that κ exhibits a double-exponential temperature dependence—κ∼e^{2.54T} at high temperatures and κ∼e^{0.49T} at low temperatures—with an intermediate power-law regime κ∼T^{−3.2} dominated by nonlinearity. To isolate the role of nonlinearity, we study a modified rotor model with suppressed phase jumps, which exhibits κ∼T^{−3.6}, confirming the influence of interaction nonlinearity. …”
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Developing a dynamic combined power quality index for assessing the performance of a nuclear facility by Asmaa M. Elsotohy, Mohammed Hamouda Ali, Ahmed S. Adail, Ayman A. Eisa, El-said A Othman

“…In this study, different abnormal conditions are simulated in the NRR network to generate power quality disturbances, including a three-phase nonlinear load to simulate harmonics, an unbalanced load to simulate unbalance, and an inductive load to simulate the change in the power factor. …”
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A Self-Supervised Feature Point Detection Method for ISAR Images of Space Targets by Shengteng Jiang, Xiaoyuan Ren, Canyu Wang, Libing Jiang, Zhuang Wang

“…Firstly, this paper simulates an ISAR primitive dataset and uses it to train the proposed basic feature point detection model. …”
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Performance Analysis of Maximum Likelihood Detection in Cooperative DF MIMO Systems with One-Bit ADCs by Tae-Kyoung Kim

“…However, its analysis under one-bit ADCs is challenging because of its nonlinearity. The main contributions of this paper are summarized as follows: (1) a tractable upper bound on the pairwise error probability (PEP) of the AML detector is derived using Jensen’s inequality and the Chernoff bound, (2) the asymptotic behavior of the PEP is analyzed to reveal the achievable diversity gain, (3) the analysis shows that full diversity is attained only when symbol pairs in the PEP satisfy a sign-inverted condition and the relay correctly decodes the source symbol, and (4) the simulation results verify the accuracy of the theoretical analysis and demonstrate the effectiveness of the proposed analysis.…”
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Dynamical Modelling and Robust Control for an Unmanned Aerial Robot Using Hexarotor with 2-DOF Manipulator by Li Ding, Hongtao Wu

“…The robust control issues in trajectory tracking of an unmanned aerial robot (UAR) are challenging tasks due to strong parametric uncertainties, large nonlinearities, and high couplings in robot dynamics. …”
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Fractional-order model of malaria incorporating treatment and prevention strategies by Benedict Celestine Agbata, Sander Kovaci, Dennis Ferdinand Agbebaku, Raimonda Dervishi, Emmanuel Abah, Godwin Christopher Ezike Mbah, Homan Emadifar, Aseel Smerat

“…Using the fractional Adams–Bashforth–Moulton method, we simulated various scenarios to explore the effects of model parameters and fractional-order values. …”
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Decoding the Spatiotemporal Complexities of the Permafrost Carbon Feedback With Multimodal Ensemble Learning by B. A. Gay, N. J. Pastick, J. D. Watts, A. H. Armstrong, K. R. Miner, C. E. Miller

“…Abstract Complex nonlinear relationships exist between the permafrost thermal state, active layer thickness, and terrestrial carbon cycle dynamics. …”
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Airflow Rate Control of Oscillating Water Column for Maximising Wave Energy Capture by Ali Salam Al-Khayyat, Ahmed A. Ouda, Mustafa Jameel Hameed

“…The dynamic of OWC is nonlinear in nature and it is intricate, thus its plant is simplified and linearised so as to apply the control scheme. …”
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T-S Fuzzy Model Based H-Infinity Control for 7-DoF Automobile Electrohydraulic Active Suspension System by Chenyu Zhou, Qiang Yu, Xuan Zhao, Guohua Zhu

“…Adaptive Robust Control (ARC) is then adopted in the inner loop design to deal with uncertain nonlinearities and improve tracking accuracy. The validity of improvements attained from this controller is demonstrated by comparing with conventional Backstepping control and a passive suspension on a 7-DoF simulation example. …”
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DOA estimation with anti-jitter based on DMA heterogeneous codebook cyclic Kalman filtering by LIU Wuding, YI Ming, JIN Liang, JIAO Shiheng, ZHANG Bingqi, LYU Haoyu

“…Firstly, a scheme for addressing the nonlinearity in received data due to random angular jitter was proposed. …”
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Estimating within-stride metabolic cost from stride-average data using autoencoders and expander networks by Manal Mustafa, Alex C. Dzewaltowski, Alex C. Dzewaltowski, Philippe Malcolm, Keegan J. Moore, Keegan J. Moore

“…The networks are trained using ten different metabolic cost models generated by a computational walking model that simulates the gait cycle subjected to 35 different robotic perturbations without using experimental input data. …”
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Exploration of coupled surface–subsurface hydrological model responses and challenges through catchment- and hillslope-scale examples by Claudio Paniconi, Claire Lauvernet, Christine Rivard

“…We will illustrate some of these issues via test case simulations at large (13.66 km catchment transect) and small (450 m2 hillslope) spatial scales, run at time scales from 10 days to hundreds of years.…”
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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

“…In underground environments characterized by dust, humidity, and explosion risks, the degradation process of lithium-ion batteries (LIBs) often exhibits nonlinear and multistage characteristics, making it difficult for traditional single models to comprehensively capture their dynamic changes. …”
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