In this paper, a singularity-free adaptive fuzzy backstepping control (AFBC) scheme is presented
for uncertain nonlinear SISO systems with triangular structure by using dynamic surface …

With the fast development of smart grid, the power line mileage and power equipments get
rapid growth. The contradiction between the large number of maintenance equipments and …

In this paper, an adaptive control approach based on the neural networks is presented to
control a DC motor system with dead-zone characteristics (DZC), where two neural networks …

This paper proposes an adaptive neural impedance control (ANIC) strategy for electrically
driven robotic systems, considering system uncertainties and external disturbances. For the …

In this article, we propose a robust high-order control barrier functions (HoCBFs)-based
optimal control method for nonlinear systems with state constraints to achieve safety-stability …

Infrared small target detection plays a crucial role in various domains like early warning,
national defense, and monitoring. Although existing detection methods have achieved some …

In this paper, a neural network (NN)-based adaptive hybrid impedance control (AHIC) scheme
is proposed for the electrically driven flexible-joint robotic manipulators (EDFJRM) with …

Due to ever increasing precision and automation demands in robotic welding, the automatic
and robust 3D seam extraction has become a research hot-spot of the welding robots. At …

With the rapid development of artificial intelligence and intelligent manufacturing, the
traditional teaching-playback mode and the off-line programming (OLP) mode cannot meet the …

In this paper, an adaptive neural network force tracking impedance control scheme based
on a nonlinear observer is proposed to control robotic system with uncertainties and external …