Study on Passive and Semiactive Control Systems in Structures under Near- and Far-Field Earthquakes by Mohammadreza Zamanian, Ali Kheyroddin, Alireza Mortezaei

“…Lack of proper understanding on the dynamic behavior of these structures during seismic events can lead to local and global failures on them. …”
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Intelligent systems and consumer neuroscience in the age of computational advertising by Zámečník Robert

“…According to the specified parameters, a systematic literature search of scientific publications was carried out and subsequently evaluated. …”
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Analysis measurements of millet collision coefficient of restitution for mechanized seeding. by Yifei Li, Wenqi Zhou, Shujuan Yi, Tao Chen, Dongming Zhang, Song Wang

“…In this study, to explore the factors affecting the bounce issue observed when seeds exit the seed-metering and seed-guiding devices, the dynamic equations for the millet collision process were derived employing Newtonian kinematics, and a COR measurement test bench was built. …”
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Stability analysis of a modified general SEIR model with harmonic mean type of incidence rate by Sant Ram Chawla, Saeed Ahmad, Wedad Albalawi, Asaf Khan, Ismail Shah, Mohamed R. Eid

“…Using the direct technique of Lyapunov and LaSalle’s invariance principle, we demonstrate that E0 is globally asymptotically stable if R0<1, and globally asymptotically unstable if R0>1, under specific model parameter conditions. The present study involves sensitivity analysis, as the issue provided demonstrates bifurcation. …”
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Distributed Prescribed-Time Formation Tracking Control for Multi-UAV Systems with External Disturbances by Ruichi Ren, Kaiyu Qin, Zhenbing Luo, Boxian Lin, Meng Li, Mengji Shi

“…The proposed singularity-free prescribed-time formation (PTF) control scheme guarantees task completion within a user-defined time, independent of initial conditions and control parameters. Unlike existing scaling-based prescribed-time methods plagued by unbounded gains and fixed-time strategies with non-tunable convergence bounds, the proposed scheme uses fixed-time stability theory and systematic parameter tuning to avoid singularity issues while ensuring robustness and predictable convergence. …”
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Towards enhanced durability: A review of fuel cell electric vehicle development by Chuanxu Luo, Hui Leng Choo, Hafisoh Ahmad, Praveena Nair Sivasankaran

“…Stress acceleration and cold start tests are examples of test optimization, whereas durability prediction requires parameter selection, real-time monitoring, dynamic modeling, and lifespan prediction. …”
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Research on Intelligent Planning Method for Turning Machining Process Based on Knowledge Base by Yante Li, Tingting Zhou

“…Second, to overcome limitations like low openness and decision-making rigidity in traditional process planning, a hybrid reasoning mechanism was proposed: on the one hand, an instance and rule-based reasoning system ensures adaptability to parameter variations; on the other hand, Generative Adversarial Networks are introduced to transcend the completeness limitations of traditional knowledge reasoning, enabling the dynamic evolution of process knowledge. …”
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A physically based analytical model of flood frequency curves by S. Basso, M. Schirmer, G. Botter

“…Abstract Predicting magnitude and frequency of floods is a key issue in hydrology, with implications in many fields ranging from river science and geomorphology to the insurance industry. …”
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Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks by Dehua Zhang, Lei Meng, Yao Hao, Ruixue Xia

“…The RBF network, utilizing its robust approximation abilities, is applied to dynamically estimate system uncertainties, thereby alleviating the chattering issue typical of traditional SMC and minimizing its negative effects on system reliability and operation. …”
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Designing a robust method to improve virtual inertia control performance in islanded microgrid by Farhad Amiri

“…The linear quadratic regulator controller uses measurements of system states and the integration of a deep network increases the accuracy and dynamic response of the feedback controller. This allows for fine-tuning of the control response, which exhibits significant robustness against uncertainty in system parameters and disturbances. …”
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Predicting Transient Anomalous Transport in Two‐Dimensional Discrete Fracture Networks With Dead‐End Fractures by HongGuang Sun, Dawei Lei, Yong Zhang, Jiazhong Qian, Xiangnan Yu

“…Parameter sensitivity analysis further correlates late‐time solute transport dynamics with fracture properties, such as fracture density and average length. …”
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Hybrid Energy Storage Black Start Control Strategy Based on Super Capacitor by Dengfeng Yao, Zhezhi Chen, Yihua Zhang, Xuelin He, Yiyuan Zhang, Tengqing Xiong, Jingyuan Yin

“…Based on the small signal disturbance model, the influence of the system parameters on stability was analyzed, and the control parameters are adjusted according to the angular velocity and frequency deviation. …”
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Multi-objective Optimization Method for Pocket Milling Driven by Massive Virtual Machining by SHEN Bin, TU Weiyi, NIE Pengfei, WANG Chenghan, AI Di, WU Jun, ZHENG Zujie, GUO Guoqiang

“…In response to the critical issues of tool chatter and breakage during the milling process of thin-walled cavity parts in the aerospace field, which significantly impact machining quality and efficiency, this study proposes a dynamic analysis method for cutting units based on discrete point modeling of cutting edges through accurate calculation of the tool-workpiece engagement region, thereby enabling precise definition of the tool′s cutting state. …”
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A Focal Attention-Based Large Convolutional Kernel Network for Anomaly Detection of Coated Fuel Particles by Zhaochuan Hu, Jiang Yu, Hang Zhang, Jian Liu, Ning Chen, Rong Li

“…The coating thickness of fuel particles is a critical parameter for ensuring the safe operation of high-temperature gas-cooled reactors. …”
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An Investigation on the Ball Screw-Based Variable Displacement Mechanism for Axial Piston Pumps with Feedforward Differential Input Control by Guangcheng Zhang, Bokai Wang, Yueh-Jaw Lin

“…Traditional valve-controlled cylinder variable mechanisms (VCCVM) often suffer from limited control precision over the swash plate due to numerous uncertain parameters within the hydraulic system. To address this issue, a ball screw is utilized to replace the original valve-controlled cylinder for swash plate control, enhancing accuracy and responsiveness. …”
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Adaptive Optimization of Traffic Signal Timing via Deep Reinforcement Learning by Zibo Ma, Tongchao Cui, Wenxing Deng, Fengyao Jiang, Liguo Zhang

“…With rapid development of the urbanization, how to improve the traffic lights efficiency has become an urgent issue. The traditional traffic light control is a method that calculates a series of corresponding timing parameters by optimizing the cycle length. …”
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Design and test of gravity self balancing upper limb rehabilitation robots by MA Chong, LI Shouzhong, KUANG Xinyu, ZHANG Wenlong, LI Junli, ZHAO Hongzhe

“…Based on the analysis of the change law of the center of mass during the cantilever working process of the upper limb rehabilitation robot, a cantilever mechanism of the upper limb rehabilitation robot that can automatically balance gravity was designed to address this issue.MethodsThis institution can achieve gravity balance by determining the position and parameters of the zero length spring, which means that only one spring is needed to meet the self balance of the upper limb rehabilitation robot cantilever in tension and rotation working states. …”
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Coordinated control strategy for HVDC frequency controllers in multi-area asynchronous grid by Jianxiong Lei, Rongzhao Yang, Weixiong Wu, Weicheng Lu, Weike Mo

“…Finally, the impact of control parameters in the HVDC frequency controller on system frequency stability is analyzed utilizing the state-space model. …”
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Research on energy management strategies for high-power diesel-electric hybrid tractors based on double deep Q-network by Yiwei Wu, Yifan Zhao, Changkai Wen, Junjiang Zhang, Xianghai Yan

“…Abstract Addressing the issues of complex parameter tuning and challenging online application of control algorithms for energy management strategies in current hybrid tractors. …”
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An Adaptive Control Strategy for a Virtual Synchronous Generator Based on Exponential Inertia and Nonlinear Damping by Huiguang Pian, Keqilao Meng, Hua Li, Yongjiang Liu, Zhi Li, Ligang Jiang

“…The increasing incorporation of renewable energy into power grids has significantly reduced system inertia and damping, posing challenges to frequency stability and power quality. To address this issue, an adaptive virtual synchronous generator (VSG) control strategy is proposed, which dynamically adjusts virtual inertia and damping in response to real-time frequency variations. …”
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