Zobrazeno 1 - 10
of 92 270
pro vyhledávání: '"Trajectory Tracking"'
Autor:
Chen, Yung-Hsiang1 (AUTHOR) yhchen@mail.npust.edu.tw
Publikováno v:
Mathematics (2227-7390). Dec2024, Vol. 12 Issue 24, p4013. 32p.
This paper studies the trajectory tracking and motion control problems for autonomous vehicles (AVs). A parameter adaptive control framework for AVs is proposed to enhance tracking accuracy and yaw stability. While establishing linear quadratic regul
Externí odkaz:
http://arxiv.org/abs/2411.17745
Bird-sized flapping-wing robots offer significant potential for agile flight in complex environments, but achieving agile and robust trajectory tracking remains a challenge due to the complex aerodynamics and highly nonlinear dynamics inherent in fla
Externí odkaz:
http://arxiv.org/abs/2411.15130
This paper studies the application of the DDPG algorithm in trajectory-tracking tasks and proposes a trajectorytracking control method combined with Frenet coordinate system. By converting the vehicle's position and velocity information from the Cart
Externí odkaz:
http://arxiv.org/abs/2411.13885
Accurate trajectory tracking is an essential characteristic for the safe navigation of a quadrotor in cluttered or disturbed environments. In this paper, we present in detail two state-of-the-art model-based control frameworks for trajectory tracking
Externí odkaz:
http://arxiv.org/abs/2411.06707
Autor:
Gao, Min1 (AUTHOR), Li, Jing1 (AUTHOR) liye1129@163.com, Hu, Taihong1 (AUTHOR), Luo, Jin1 (AUTHOR), Feng, Baidong1 (AUTHOR)
Publikováno v:
Scientific Reports. 12/28/2024, Vol. 14 Issue 1, p1-18. 18p.
This paper introduces a novel approach for tracking the dynamic trajectories of integrated natural gas and power systems, leveraging a Kalman filter-based structure. To predict the states of the system, the Holt's exponential smoothing techniques and
Externí odkaz:
http://arxiv.org/abs/2412.18357
Autor:
Yang, Sen, Li, Xiaofeng
Piezoelectric fast steering mirrors (PFSM) are widely utilized in beam precision-pointing systems but encounter considerable challenges in achieving high-precision tracking of fast trajectories due to nonlinear hysteresis and mechanical dual-axis cro
Externí odkaz:
http://arxiv.org/abs/2412.14511
This paper presents a novel reinforcement learning framework for trajectory tracking of unmanned aerial vehicles in cluttered environments using a dual-agent architecture. Traditional optimization methods for trajectory tracking face significant comp
Externí odkaz:
http://arxiv.org/abs/2410.23571
Four Wheeled Mecanum Robot (FWMR) possess the capability to move in any direction on a plane making it a cornerstone system in modern industrial operations. Despite the extreme maneuverability offered by FWMR, the practical implementation or real-tim
Externí odkaz:
http://arxiv.org/abs/2410.06762