Results 301 to 310 of about 2,599,591 (324)
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MRPT: Millimeter-Wave Radar-Based Pedestrian Trajectory Tracking for Autonomous Urban Driving
IEEE Transactions on Instrumentation and Measurement, 2022Pedestrians represent agile and low-observable targets, especially under adverse weather conditions, whose trajectory tracking plays a crucial role in determining pedestrian behavior in autonomous urban driving.
Zhenyuan Zhang +5 more
semanticscholar +1 more source
A Novel Non-Singular Terminal Sliding Mode Trajectory Tracking Control for Robotic Manipulators
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021This brief investigates the trajectory tracking problem of $n$ -link robotic manipulators with internal uncertainties and external disturbances. At first, a novel non-singular terminal sliding mode surface is proposed which contains arctan function ...
J. Zhai, Gui Xu
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2021
A novel robust adaptive neural network (NN) control scheme with prescribed performance is developed for the 3-D trajectory tracking of underactuated autonomous underwater vehicles (AUVs) with uncertain dynamics and unknown disturbances using new ...
Jian Li +2 more
semanticscholar +1 more source
A novel robust adaptive neural network (NN) control scheme with prescribed performance is developed for the 3-D trajectory tracking of underactuated autonomous underwater vehicles (AUVs) with uncertain dynamics and unknown disturbances using new ...
Jian Li +2 more
semanticscholar +1 more source
IEEE Transactions on Cybernetics, 2021
This article studies an efficient nonlinear model-predictive control (NMPC) scheme for trajectory tracking control of a quadrotor unmanned aerial vehicle (UAV).
Dong Wang +4 more
semanticscholar +1 more source
This article studies an efficient nonlinear model-predictive control (NMPC) scheme for trajectory tracking control of a quadrotor unmanned aerial vehicle (UAV).
Dong Wang +4 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2021
In this article, we address the disturbance/ uncertainty estimation of maritime autonomous surface ships (MASSs) with unknown internal dynamics, unknown external disturbances, and unknown input gains.
Zhouhua Peng, Dan Wang, Jun Wang
semanticscholar +1 more source
In this article, we address the disturbance/ uncertainty estimation of maritime autonomous surface ships (MASSs) with unknown internal dynamics, unknown external disturbances, and unknown input gains.
Zhouhua Peng, Dan Wang, Jun Wang
semanticscholar +1 more source
Distributed Trajectory Optimization and Fixed-Time Tracking Control of a Group of Connected Vehicles
IEEE Transactions on Vehicular Technology, 2023This paper investigates a distributed trajectory optimization and trajectory tracking control problem for a collection of vehicles. A two-layered framework is established for distributed trajectory optimization and fixed-time tracking control.
Ge Guo, Ziwei Zhao, Ren Zhang
semanticscholar +1 more source
IEEE transactions on industrial electronics (1982. Print), 2021
The article studies the trajectory tracking control problem of underactuated marine vehicles via the nonlinear model predictive control (NMPC) strategy, where practical control and state constraints present.
Haojiao Liang, Huiping Li, Demin Xu
semanticscholar +1 more source
The article studies the trajectory tracking control problem of underactuated marine vehicles via the nonlinear model predictive control (NMPC) strategy, where practical control and state constraints present.
Haojiao Liang, Huiping Li, Demin Xu
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2020
This article aims to develop an effective control method that can improve the convergence rate over the existing adaptive nonsingular integral terminal sliding mode control (ANITSMC) method for the trajectory tracking control of autonomous underwater ...
Lei Qiao, Weidong Zhang
semanticscholar +1 more source
This article aims to develop an effective control method that can improve the convergence rate over the existing adaptive nonsingular integral terminal sliding mode control (ANITSMC) method for the trajectory tracking control of autonomous underwater ...
Lei Qiao, Weidong Zhang
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2022
In order to improve trajectory tracking accuracy, a reinforcement learning method was employed to address the trajectory tracking task in autonomous driving.
Meng Liu +4 more
semanticscholar +1 more source
In order to improve trajectory tracking accuracy, a reinforcement learning method was employed to address the trajectory tracking task in autonomous driving.
Meng Liu +4 more
semanticscholar +1 more source
IEEE Transactions on Systems, Man, and Cybernetics: Systems
AUV play an important role in the exploration and utilization of the ocean. Underactuated autonomous underwater vehicles (AUVs) are widely used in these missions due to the associated low manufacturing costs, low power consumption, and high reliability ...
M. J. Er +3 more
semanticscholar +1 more source
AUV play an important role in the exploration and utilization of the ocean. Underactuated autonomous underwater vehicles (AUVs) are widely used in these missions due to the associated low manufacturing costs, low power consumption, and high reliability ...
M. J. Er +3 more
semanticscholar +1 more source