Entry Guidance for Hypersonic Glide Vehicles via Two-Phase hp-Adaptive Sequential Convex Programming by Xu Liu, Xiang Li, Houjun Zhang, Hao Huang, Yonghui Wu

“…This paper addresses the real-time trajectory generation problem for hypersonic glide vehicles (HGVs) during atmospheric entry, subject to complex constraints including aerothermal limits, actuator bounds, and no-fly zones (NFZs). …”
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Research on the Local Dynamic Trajectory Planning Method Based on Relative Positioning by LUO Jiaxiang, YUAN Xiwen, HUANG Qiang

“…Therefore, this paper proposes a local dynamic trajectory planning method based on relative positioning. …”
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Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection by Sara Roos-Hoefgeest, Mario Roos-Hoefgeest, Ignacio Álvarez, Rafael C. González

“…We use a simulated environment replicating real-world conditions, including sensor noise and surface irregularities, to plan trajectories offline using CAD models. …”
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Trajectory of the response to bronchodilator and respiratory outcomes in adults with asthma-like symptoms by Daniel Gimenez da Rocha, Monique Olivia Burch, Luciana Aparecida Teixeira Soares, Jessica Regina Bertolino, Ana Lúcia Bergamasco Galastri, Daniel Antunes, Ronei Luciano Mamoni, Eduardo Vieira Ponte

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Application of Machine Learning for Adaptive Trajectory Control of UAVs Under Uncertainty by Alexander S. Ermilov, Olga A. Saltykova

“…Further research could focus on developing collective control for UAV groups and improving real-time ML integration. This would expand UAV functionality, improve efficiency, and reduce resource consumption.…”
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STUDENTS’ NONLINEAR EDUCATIONAL TRAJECTORIES AS A SIGN OF LEADERSHIP-ORIENTED UNIVERSITIES by E. V. Strogetskaya, I. B. Betiger

“…The terms of "non-linear educational trajectory" and "knowledge broker" are introduced. A major influence of real structurally marked multi institutional educational environment on the formation of nonlinear trajectories is proved. …”
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Robotic Arm Trajectory Planning Based on Improved Slime Mould Algorithm by Changyong Li, Hao Xing, Pengbo Qin

“…To address this problem, this paper proposes a trajectory planning method based on the improved Slime Mould Algorithm. …”
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Influence of Biological Maturation on the Career Trajectory of Football Players: Does It Predict Elite Success? by Saül Aixa-Requena, Albert Gil-Galve, Alejandro Legaz-Arrese, Vicenç Hernández-González, Joaquín Reverter-Masia

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METHOD OF CONSTRUCTION OF A NEUROREGULATOR MODEL WHEN OPTIMIZING THE CONTROL STRUCTURE OF A TECHNOLOGICAL CYCLE by V. S. Smorodin, V. A. Prokhorenko

“…The mathematical model of the neuroregulator is based on a physical prototype, and the procedure of a real-time control synthesis (adaptive control) is based on recurrent neural network training. …”
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Trajectory Tracking and Yaw Stability Control for Electric Vehicles Based on LTV-MPC by GAO Zhenfei

“…This study focuses on Linear Time-varying Model-based Predictive Control (LTV-MPC) to support real-time trajectory tracking and yaw stability control for distributed drive electric vehicles (DDEV) under steering conditions. …”
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Gait and Trajectory Optimization by Self-Learning for Quadrupedal Robots with an Active Back Joint by Ariel Masuri, Oded Medina, Shlomi Hacohen, Nir Shvalb

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Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm by Haipeng Gu, Yang Wu, Xiaowei Li, Zhaokai Hou

“…In the drilling operation of non-vertical wells in complex formations, the traditional static trajectory function, combined with the classical optimization algorithm, has difficulty adapting to the parameter fluctuation caused by formation changes and lacks real-time performance. …”
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Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning by Yingjun Liu, Fuchun Liu, Renwei Huang

“…For complex scenarios where the reward function cannot be achieved or is only with sparse rewards, we proposed a novel supervised optimal control framework based on trajectory imitation (TI) and reinforcement learning (RL) in this paper. …”
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Trajectory Control Approach for Single-Stage Soft-Switching Grid-Tied Inverters by Seunghun Baek

“…To minimize switching lossd provide advanced grid-connected functionality, the soft-switching operation is achieved through a resonant filter using a trajectory control scheme. …”
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Modeling eye gaze velocity trajectories using GANs with spectral loss for enhanced fidelity by Shailendra Bhandari, Pedro Lencastre, Rujeena Mathema, Alexander Szorkovszky, Anis Yazidi, Pedro G. Lind

“…Our findings reveal that the LSTM-CNN architecture trained with this new loss function exhibits the closest alignment to the real data distribution, effectively capturing both the distribution tails and the intricate temporal dependencies. …”
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Minimum Snap Trajectory Planning and Augmented MPC for Morphing Quadrotor Navigation in Confined Spaces by Chaojun Qin, Na Zhao, Qiuyu Wang, Yudong Luo, Yantao Shen

“…Therefore, this paper studies the collaborative optimization of trajectory generation and flight control for the morphing quadrotor with real-time adjustable arms. …”
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Intelligent Dynamic Trajectory Planning of UAVs: Addressing Unknown Environments and Intermittent Target Loss by Zhengpeng Yang, Suyu Yan, Chao Ming, Xiaoming Wang

“…An improved Radial Basis Function (RBF) network is utilized in combination with an offline–online trajectory planning method for real-time obstacle avoidance trajectory planning. …”
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Unmanned Aerial Vehicle Surveying and Mapping Trajectory Scheduling and Autonomous Control for Landslide Monitoring by Shifang Liao, Manzhu Ye, Rongcai Yuan, Wanzhi Ma

“…Based on the landslide surface subsidence monitoring method, this article designs the UAV trajectory scheduling subsidence monitoring software, which can monitor the UAV’s flight status and navigation information, and draw the flight trajectory in real time. …”
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Marine Trajectory Reconstruction Method Based on Navigation State Recognition and Bi-Directional Kinematic Interpolation by Yifei Liu, Zhangsong Shi, Bing Fu, Huihui Xu, Hao Wu

“…The proposed method is verified and analyzed on the contest dataset of “Intelligent classification and recognition of XX trajectories”. Compared with the existing methods, the reconstruction results of the proposed method are closer to the real trajectories, and it can effectively reconstruct the target trajectories with better accuracy and stability. …”
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4D trajectory prediction and conflict detection in terminal areas based on an improved convolutional network. by Xin Ma, Linxin Zheng, Xikang Lu

“…In order to optimize the air traffic service mode more safely and scientifically, the International Civil Aviation Organization (ICAO) has proposed a new concept of trajectory based operation (TBO). According to the basic principle and core structure of TBO, aiming at improving the accuracy of Four Dimensional (4D) Trajectory prediction and the reliability of multi-trajectory flight conflict detection, the trajectory prediction model is established by using convolutional neural networks-bidirectional gated recurrent unit (CNN-BiGRU), and the conflict evaluation of prediction results is realized by using trajectory distance detection function. …”
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