Connection looseness detection of steel grid structures using piezoceramic transducers by Shi Yan, Weiling Liu, Gangbing Song, Putian Zhao, Shuai Zhang

“…Piezoceramic patch arrays bonded on the surface of grid members are used as transducers to generate and receive detection guided waves, and external torques are applied to indirectly simulate the bolt-sphere joint looseness effect. The experimental results show that the bolt-sphere joint looseness impact on the ultrasonic wave energy attenuation has a nonlinear regularity. …”
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Optimized Coupling Coil Geometry for High Wireless Power Transfer Efficiency in Mobile Devices by Fahad M. Alotaibi

“…This work introduces a WPT system with a performance-driven coil design aimed at maximizing magnetic coupling and mutual inductance between the transmitting (Tx) and receiving (Rx) coils in mobile devices. Due to the nonlinear behavior of magnetic flux and the high computational cost of simulations, exploring the full design space for coils using ANSYS Maxwell becomes impractical. …”
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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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Research Advances in Large Deformation Analysis and Applications of the Material Point Method by Changhong Zhou, Qing Zhong, Xuejiao Zhou, Xionghua Wu, Shiyi Chen

“…Large deformation analysis is a crucial foundation for studying the nonlinear behavior and progressive damage of materials and structures. …”
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Adaptive Artificial Neural Network-Based Proportional Integral Controllers and Extremum Seeking Energy Optimizer for Wind Systems by Hassan Rafia, Hamid Ouadi, Brahim Elbhiri

“…However, their effectiveness deacreases when applied to nonlinear systems, such as Wind Energy Systems (WES) based on Doubly-Fed Induction (DFIG). …”
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Enhancing operational planning of active distribution networks considering effective topology selection and thermal energy storage by Vineeth Vijayan, Ali Arzani, Satish M. Mahajan

“…The mixed-integer nonlinear programming problem is solved using a Pareto-based multi-objective particle swarm optimization (MOPSO) method. …”
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Closely Spaced Multi-Target Association and Localization Using BR and AOA Measurements in Distributed MIMO Radar Systems by Zehua Yu, Ziyang Jin, Ting Sun, Jinshan Ding, Jun Li, Qinghua Guo

“…This work addresses the issue of closely spaced multi-target localization in distributed MIMO radars using bistatic range (BR) and angle of arrival (AOA) measurements. …”
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Collaborative Sensing-Aware Task Offloading and Resource Allocation for Integrated Sensing-Communication- and Computation-Enabled Internet of Vehicles (IoV) by Bangzhen Huang, Xuwei Fan, Shaolong Zheng, Ning Chen, Yifeng Zhao, Lianfen Huang, Zhibin Gao, Han-Chieh Chao

“…To solve this mixed-integer nonlinear programming (MINLP) problem, we design a two-stage iterative optimization algorithm that decomposes the original optimization problem into a task offloading subproblem and a resource allocation subproblem, which are solved iteratively. …”
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Co-Optimization of Speed Planning and Energy Management for Plug-In Hybrid Electric Trucks Passing Through Traffic Light Intersections by Xin Liu, Guojing Shi, Changbo Yang, Enyong Xu, Yanmei Meng

“…This model effectively converts the nonlinear constraints related to the position, phase, and timing information of each traffic signal on the road into time-varying constraints, thereby improving computational efficiency. …”
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Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks by Md Kamruzzaman, Nurul I. Sarkar, Jairo Gutierrez

“…As resource optimization is an integer nonlinear programming problem, we address this problem by proposing a deep Q-network-based reinforcement learning algorithm (DRL) to optimize the resource allocation issue. …”
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Study on the resilience of command and control networks to cascading failures based on asymmetric group dependencies by Biao Zhao, Menglin Wang, Weiting Lin, QiZeng Zhang

“…To address the cascading failure issue caused by the one-way dependency between Command and Control (C2) Networks and Information and Communication (IC) Networks, the paper uses a nonlinear capacity-load model to simulate the cascading failure process of the coupled network and conducts simulation experiments under different attack modes and parameters to comprehensively evaluate the resilience of the coupled network. …”
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Implementation of Power Efficient Flash Analogue-to-Digital Converter by Taninki Sai Lakshmi, Avireni Srinivasulu, Pittala Chandra Shaker

“…The proposed 5-bit flash ADC is designed using Cadence 180 nm CMOS technology with a supply rail voltage typically ±0.85 V. The simulation results include a total power dissipation of 46.69 mW, integral nonlinearity (INL) value of −0.30 LSB and differential nonlinearity (DNL) value of −0.24 LSB, of the flash ADC.…”
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Coordinated Reentry Guidance with A* and Deep Reinforcement Learning for Hypersonic Morphing Vehicles Under Multiple No-Fly Zones by Cunyu Bao, Xingchen Li, Weile Xu, Guojian Tang, Wen Yao

“…Hypersonic morphing vehicles (HMVs), renowned for their adaptive structural reconfiguration and cross-domain maneuverability, confront formidable reentry guidance challenges under multiple no-fly zones, stringent path constraints, and nonlinear dynamics exacerbated by morphing-induced aerodynamic uncertainties. …”
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Physics-Informed Surrogate Modelling in Fire Safety Engineering: A Systematic Review by Ramin Yarmohammadian, Florian Put, Ruben Van Coile

“…Surrogate modelling is increasingly used in engineering to improve computational efficiency in complex simulations. However, traditional data-driven surrogate models often face limitations in generalizability, physical consistency, and extrapolation—issues that are especially critical in safety-sensitive fields such as fire safety engineering (FSE). …”
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Data-driven reverse engineering of signaling pathways using ensembles of dynamic models. by David Henriques, Alejandro F Villaverde, Miguel Rocha, Julio Saez-Rodriguez, Julio R Banga

“…As a consequence, there is a pervasive lack of identifiability. To overcome these issues, we present a methodology called SELDOM (enSEmbLe of Dynamic lOgic-based Models), which builds an ensemble of logic-based dynamic models, trains them to experimental data, and combines their individual simulations into an ensemble prediction. …”
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Optimizing Radial Distribution Network Performance Through Microgrid Integration Using a Hybrid PSO-HSA Algorithm by Demsew Mitiku Teferra, Livingstone M. H. Ngoo, George N. Nyakoe

“…Radial power distribution systems, characterized by long feeders and time-varying, nonlinear loads, are primary sources of inefficiency, poor power quality, and stability issues within the distribution network. …”
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Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems by Van Hien Nguyen, Kyoung Kwan Ahn

“…Subsequently, a hybrid BWO-enhanced LSTM-RF system is deployed to capture complex nonlinear patterns, improving the accuracy of motion trajectory predictions. …”
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Two-stage strategic optimal planning of distributed generators and energy storage systems considering demand response program and network reconfiguration by Saleh Ba-swaimi, Renuga Verayiah, Vigna K. Ramachandaramurthy, Ahmad K. ALAhmad, Sanjeevikumar Padmanaban

“…This work presents a stochastic two-stage mixed-integer nonlinear programming (MINLP) optimization model for the long-term planning of a distribution system (DS) to improve renewable energy integration over a ten-year period. …”
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Day-Ahead Optimization of Proton Exchange Membrane Electrolyzer Operations Considering System Efficiency and Green Hydrogen Production Constraints Imposed by the European Regulator... by Giuseppe Graber, Vito Calderaro, Vincenzo Galdi, Lucio Ippolito, Fabrizio De Caro, Alfredo Vaccaro

“…The European regulatory framework establishes that the production of green H₂ must be supported either by the electricity grid through a power purchase agreement (PPA) or by intermittent renewable energy source (RES) plants owned by the hydrogen producer. Although the issue of the optimization of hydrogen production costs has already been approached, constraints related to the current regulatory framework and the modeling of nonlinear electrolyzer efficiency still represent open problems. …”
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