Adaptive neural networks finite-time optimal control for a class of nonlinear systems
Y Li, T Yang, S Tong - IEEE Transactions on Neural Networks …, 2019 - ieeexplore.ieee.org
This article addresses the finite-time optimal control problem for a class of nonlinear systems
whose powers are positive odd rational numbers. First of all, a finite-time controller, which is …
whose powers are positive odd rational numbers. First of all, a finite-time controller, which is …
Asymmetric cooperation control of dual-arm exoskeletons using human collaborative manipulation models
The exoskeleton is mainly used by subjects who suffer muscle injury to enhance motor
ability in the daily life environment. Previous research seldom considers extending human …
ability in the daily life environment. Previous research seldom considers extending human …
MTANet: Multitask-aware network with hierarchical multimodal fusion for RGB-T urban scene understanding
Understanding urban scenes is a fundamental ability requirement for assisted driving and
autonomous vehicles. Most of the available urban scene understanding methods use red …
autonomous vehicles. Most of the available urban scene understanding methods use red …
FuseSeg: Semantic segmentation of urban scenes based on RGB and thermal data fusion
Semantic segmentation of urban scenes is an essential component in various applications
of autonomous driving. It makes great progress with the rise of deep learning technologies …
of autonomous driving. It makes great progress with the rise of deep learning technologies …
Developments and clinical evaluations of robotic exoskeleton technology for human upper-limb rehabilitation
The development of upper limb and lower extremity robotic exoskeletons has emerged as a
way to improve the quality of life as well as act as a primary rehabilitation device for …
way to improve the quality of life as well as act as a primary rehabilitation device for …
Human-in-the-loop adaptive control of a soft exo-suit with actuator dynamics and ankle impedance adaptation
Soft exo-suit could facilitate walking assistance activities (such as level walking, upslope,
and downslope) for unimpaired individuals. In this article, a novel human-in-the-loop …
and downslope) for unimpaired individuals. In this article, a novel human-in-the-loop …
Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections
Cyclist trajectory prediction is of great significance for both active collision avoidance and
path planning of intelligent vehicles. This paper presents a trajectory prediction method for …
path planning of intelligent vehicles. This paper presents a trajectory prediction method for …
Near-optimal area-coverage path planning of energy-constrained aerial robots with application in autonomous environmental monitoring
KR Jensen-Nau, T Hermans… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article describes a Voronoi-based path generation (VPG) algorithm for an energy-
constrained mobile robot, such as an unmanned aerial vehicle (UAV). The algorithm solves …
constrained mobile robot, such as an unmanned aerial vehicle (UAV). The algorithm solves …
Active human-following control of an exoskeleton robot with body weight support
This article presents an active human-following control of the lower limb exoskeleton for gait
training. First, to improve safety, considering the human balance, the OpenPose-based …
training. First, to improve safety, considering the human balance, the OpenPose-based …
An adaptive memristor-programming neurodynamic approach to nonsmooth nonconvex optimization problems
This article introduces an adaptive memristor-programming neurodynamic approach
(AMPNA) to tackle optimization problems that are nonconvex and nonsmooth with inequality …
(AMPNA) to tackle optimization problems that are nonconvex and nonsmooth with inequality …