Results 311 to 320 of about 2,599,591 (324)

Physical-Informed Neural Network for MPC-Based Trajectory Tracking of Vehicles With Noise Considered

IEEE Transactions on Intelligent Vehicles
The trajectory tracking plays a vital role in unmanned driving technology. Although traditional control schemes may yield satisfactory outcomes in dealing with simple linear tasks, they may fall short when handling dynamic systems with time-varying ...
Long Jin, Longqi Liu, Xingxia Wang, Mingsheng Shang, Fei‐Yue Wang   +4 more
semanticscholar   +1 more source

Event-Triggered Deep Learning Control of Quadrotors for Trajectory Tracking

IEEE transactions on industrial electronics (1982. Print)
This article proposes an event-triggered deep learning control strategy to achieve real-time trajectory tracking control for quadrotors. In the training data collection phase, the event-triggered model predictive control (ETMPC) method is applied to the ...
Chaojie Zhu, Jicheng Chen, M. Iwasaki, Hui Zhang   +3 more
semanticscholar   +1 more source

Online Iterative Learning Compensation Method Based on Model Prediction for Trajectory Tracking Control Systems

IEEE Transactions on Industrial Informatics, 2021
In this article, to guarantee the good tracking performance of the precision motion system for various tracking tasks, an online iterative learning compensation method is proposed for closed-loop motion control systems.
Ze Wang, R. Zhou, Chuxiong Hu, Yu Zhu
semanticscholar   +1 more source

A practical trajectory tracking control of autonomous vehicles using linear time-varying MPC method

Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, 2021
With the rapid development and implementation of autonomous vehicles (AVs), the simultaneous and accurate trajectory tracking problem for such AVs has become a popular research topic.
Hui Pang, Nanjun Liu, Chuan Hu, Zijun Xu
semanticscholar   +1 more source

Global Robust Adaptive Trajectory Tracking Control for Surface Ships Under Input Saturation

IEEE Journal of Oceanic Engineering, 2020
In this paper, we investigate the trajectory tracking control problem of surface ships subject to unknown parameters, unknown time-varying disturbances, and input saturation. The input saturation is approximated using a Gaussian error function.
Guibing Zhu, Jia-lu Du
semanticscholar   +1 more source

Finite-Time Trajectory Tracking Control of Space Manipulator Under Actuator Saturation

IEEE transactions on industrial electronics (1982. Print), 2020
This paper proposes a finite-time trajectory tracking controller for a space manipulator under model uncertainty, external disturbance, and actuator saturation. The dynamics of space manipulator is derived using Kane's method.
Shiyuan Jia, J. Shan
semanticscholar   +1 more source

Trajectory Tracking Control of an Autonomous Underwater Vehicle Using Lyapunov-Based Model Predictive Control

IEEE transactions on industrial electronics (1982. Print), 2018
This paper studies the trajectory tracking control problem of an autonomous underwater vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) framework for the AUV to utilize computational resource (online optimization) to ...
Chao Shen, Yang Shi, B. Buckham
semanticscholar   +1 more source

Trajectory Tracking of Autonomous Vehicle: A Differential Flatness Approach With Disturbance-Observer-Based Control

IEEE Transactions on Intelligent Vehicles, 2023
Xin Wang, Weichao Sun
semanticscholar   +1 more source

Accurate Trajectory Tracking of Disturbed Surface Vehicles: A Finite-Time Control Approach

IEEE/ASME transactions on mechatronics, 2019
In this paper, accurate trajectory tracking problem of a surface vehicle disturbed by complex marine environments is solved by creating a finite-time control (FTC) scheme whereby the nonsingular fast terminal sliding mode (NFTSM) and finite-time ...
Ning Wang, H. Karimi, Hongyi Li, S. Su
semanticscholar   +1 more source

Extended State Observer-Based Controller With Model Predictive Governor for 3-D Trajectory Tracking of Underactuated Underwater Vehicles

IEEE Transactions on Industrial Informatics, 2021
Shihan Kong, Jinlin Sun, Changlin Qiu, Zhengxing Wu, Junzhi Yu   +4 more
semanticscholar   +1 more source