In this paper, an adaptive recurrent-neural-network (ARNN) motion control system for a biaxial
motion mechanism driven by two field-oriented control permanent magnet synchronous …

We propose an intelligent adaptive backstepping control system using a recurrent neural
network (RNN) to control the mover position of a magnetic levitation apparatus to compensate …

An intelligent sliding-mode control system using a radial basis function network (SMCRBFN)
is proposed to control the position of a levitated object of a magnetic levitation system to …

A robust adaptive fuzzy neural network (RAFNN) backstepping control system is proposed
to control the position of an XY-Theta motion control stage using linear ultrasonic motors (…

We propose a hybrid controller using a recurrent neural network (RNN) to control a levitated
object in a magnetic levitation system. We describe a nonlinear dynamic model of the …

The emergence of cryptocurrencies has caught the attention worldwide. Some parties have
considered issuing cryptocurrencies an excellent opportunity to raise capital and other …

The robust control of a linear ultrasonic motor based XY-thetas motion control stage to track
various contours is achieved by using an adaptive interval type-2 fuzzy neural network (…

An interval type-2 fuzzy neural network (IT2FNN) control system is proposed to control the
position of an X–Y–Theta (X–Y–θ) motion control stage using linear ultrasonic motors (LUSMs…

An interval type-2 fuzzy neural network (IT2FNN) is developed for the position control of a Θ-axis
motion-control stage using a linear ultrasonic motor to confront the uncertainties of the …

A sliding-mode controller (SMC) for a two-dimensional piezo-positioning stage is proposed.
A mathematical model representing the motion dynamics of the stage is developed in which …