A Study of an IT-Assisted Higher Education Model Based on Distributed Hardware-Assisted Tracking Intervention by Haijun Liu

“…Under the communication topology of the system as a directed graph, a multi-intelligent system dynamic model with grouping is established; i.e., the intragroup intelligence has the same dynamics but is different between groups, and all system dynamics are unknown. …”
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Optomechanical Backreaction of Quantum Field Processes in Dynamical Casimir Effect by Xie, Yu-Cun, Butera, Salvatore, Hu, Bei-Lok

“…Our findings comply with what is known as the quantum Lenz law, found in cosmological backreaction problems: the backreaction works in the direction of opposing further changes, which means the suppression of particle creation and a slow down of the system dynamics. In conclusion we suggest two related classes of problems of theoretical significance for further investigations.…”
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Decoupled level and flow rate control of a two-tank system in beverage production: A comparative analysis of Fuzzy-PID and GA-PID for minimum time operation. by Tamiru Demelash Kassie, Mebratu Sintie Geremew, Kassahun Ashagrie Chanie

“…Two radically different control approaches are presented and compared for this system's dynamics, motivated by a desire to provide precise liquid-level control and regulate the flow rate. …”
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Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method by Abhijeet Sahu, Truc Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly

“…FDIAs typically induce a discrepancy between the desired and the effective behavior of the power system dynamics. A suitable detection method can leverage power dynamics predictions to identify whether such a discrepancy was induced by an FDIA. …”
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Breather and solitonic behavior of parametric Sine–Gordon equation with phase-shift and driven term by Taj Munir, Muhammad Zaman, Can Kang, Hussan Zeb, Alrazi Abdeljabbar, Mohammed Daher Albalwi

“…Analytically, a perturbative expansion combined with multiple-scale analysis is developed to derive system dynamics up to the fifth-order expansion. Numerically, the explicit finite difference scheme and the fourth-order Runge–Kutta finite difference method are implemented. …”
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A Computationally-Efficient Data-Driven Safe Optimal Algorithm Through Control Merging by Marjan Khaledi, Bahare Kiumarsi

“…On the other hand, the optimal controller is learned using a low-complexity one-shot optimization problem, which again does not rely on prior knowledge of the system dynamics and state derivative data. Compared to existing optimal control learning methods for CT systems, which are typically iterative, a one-shot optimization is considerably more sample-efficient and computationally efficient. …”
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Self-organized criticality and urban development by Michael Batty, Yichun Xie

“…This theory is called ‘self-organized criticality’; it is consistent with systems in which global patterns emerge from local action which is the hallmark of self-organization, and it is consistent with developments in system dynamics and their morphology which find expression in fractal geometry and weak chaos theory. …”
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Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties by Pengjie Xu, Weining Huang, Tianrui Zhao, Wei Zhang, Tongwei Lu, Guiyan Qiang, Lin Zhang, Yanzheng Zhao

“…A decoupling control approach for velocity and angle control is adopted based on the analysis of system dynamics. Second, a function reflecting global coordination is constructed, and then it is transformed into an unconstrained variable through a designed performance function. …”
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KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters by Siyuan Shen, Jichen Chen, Guanfeng Yu, Zhengjun Zhai, Pujie Han

“…Additionally, the accurate modeling of system dynamics and noise in practical scenarios is often difficult. …”
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Learning Robust Output Control Barrier Functions From Safe Expert Demonstrations by Lars Lindemann, Alexander Robey, Lejun Jiang, Satyajeet Das, Stephen Tu, Nikolai Matni

“…We assume that a model of the system dynamics and a state estimator are available along with corresponding error bounds, e.g., estimated from data in practice. …”
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Impact of multi-scenario land-use changes on habitat quality evolution in the Yangtze River economic belt by Bowen Dong, Tiantian Huang, Tao Tang, Delin Huang, Chen Tang

“…Focusing on the Yangtze River Economic Belt (YREB), this study uses the System Dynamics (SD) - Patch-generating Land Use Simulation (PLUS) model to simulate land-use development under different scenarios of shared socio-economic pathways (SSPs) and representative concentration pathways (RCPs) from 2030 to 2050. …”
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The Effect of Tumor Angiogenesis Agents on Tumor Growth Dynamics: A Mathematical Model by Ali Mohseni, Mohammad Pooyan, Somayeh Raiesdana, Mohammad Bagher Menhaj

“…There is no effect of tumor cell killing rate via immune cells on the system dynamics. However, the increase of inhibitory factors of tumor angiogenesis agents leads to the termination of chaos. …”
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Direct Torque Control of Dual Three Phase Induction Motor fed by Direct Power Control Rectifier using Fuzzy Logic Speed Controller by Radhwane Sadouni, M’hamed Sahnoun, Ilyes Zababe, Hassen Reghioui

“…To tackle these challenges, we propose a fuzzy logic-based speed controller for DTC, which enhances adaptability to system dynamics without necessitating a precise mathematical model. …”
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Assimilation of Sparse Continuous Near‐Earth Weather Measurements by NECTAR Model Morphing by I. A. Galkin, B. W. Reinisch, A. M. Vesnin, D. Bilitza, S. Fridman, J. B. Habarulema, O. Veliz

“…Early tests of the NECTAR morphing reveal its enhanced capability to predict system dynamics over no‐data regions (spatial interpolation).…”
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Fuzzy multi-model based dynamic sliding mode control for chemical process with long-time delay by Marco Herrera, Oscar Camacho, Alvaro Prado

“…To ensure the accuracy of the system's dynamics and provide a solid foundation for the proposed control strategy, the modeling was validated using the mean squared error (MSE). …”
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Reducing the Delay Time and Tracking Trajectory of the Robot SCARA Using the Fractional PID Controller by Yassine Bensafia, Abdelhakim Idir, Khatir Khettab

“…The FPID controller incorporates fractional integrators and derivatives, facilitating improved tuning of system dynamics and offering increased control over response characteristics. …”
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Rub-Impact Force Induces Periodic, Quasiperiodic, and Chaotic Motions of a Controlled Asymmetric Rotor System by N. A. Saeed, Emad Mahrous Awwad, Ali Maarouf, Hassan M. H. Farh, Fahd A. Alturki, Jan Awrejcewicz

“…The equations of motion that govern the whole system dynamics are derived including the rub and impact forces. …”
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Robust Control of Underwater Vehicle-Manipulator System Using Grey Wolf Optimizer-Based Nonlinear Disturbance Observer and H-Infinity Controller by Yong Dai, Defeng Wu, Shuanghe Yu, Yan Yan

“…The NDO is designed based on the system dynamics and used to online provide the estimation of the lumped disturbances. …”
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Operation Effect Analysis of Dynamic Stabilizer Considering the Characteristics of Fasteners by CHEN Taimao, WANG Lihua, HUANG Hongyi, WANG Jiongli, ZHAO Zemin, JIANG Wei

“…［Method］ Based on the multi-body system dynamics theory, a dynamic stabilization device-track dynamics model considering the mechanical characteristics of rail fasteners is established. …”
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Operational Pitch Actuation Dynamics for Offshore Wind Turbines Ranging from 5 to 50 MW by Michael Jeong, Eric Loth, Chris Qin, Mandar Phadnis, Manuel Pusch, Lucy Pao

“…The developed model considers blade pitch response, pitching moments, pitch system dynamics, and blade aeroelasticity. The model is applied using an integrated wind turbine code used to simulate the turbine response of a 25‐MW offshore reference turbine with advanced pitch control under standardized turbulent wind conditions. …”
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