Higher requirements are being imposed on blade surface quality due to the continuous
improvement of thrust-to-weight ratio and endurance in advanced aero-engines. Robot …

In this study, a fractional order fast terminal sliding mode control strategy is developed to
address the trajectory tracking problem that arises when robot manipulators are subjected to …

The high-quality grinding of the aviation blade components with the industry robot presents
tremendous challenges because of the complexity of blade surface. The hybrid …

In this article, aiming at handling the trajectory tracking issue of industrial manipulator
system (IMS) with modeling uncertainty, varying loads (VL) and unknown dead-zone …

A hybrid neural network-based fractional-order sliding mode controller for the position/force
tracking control problem of a reconfigurable robot manipulator system is presented in this …

In this work, a lower limb exoskeleton with uncertainties and external disturbances under
constrained motion has been controlled by developing a model‐free adaptive optimal …

This paper proposes a method to compute the solutions of linear optimal control expressed
in terms of the radial basis function neural networks with Gaussian activation functions for …

Taking an intelligent trimming device hydraulic manipulator as the research object, aiming at
the uncertainty, nonlinearity and complexity of its system, a trajectory tracking control …

In this article, a lower limb exoskeleton (LLE) under contacting constrained motion has been
modelled using augmented Lagrange equations which include Lagrange multiplier and …

This paper proposes a computationally efficient and effective data-driven modeling
framework for dynamical systems. The proposed modeling framework employs a collection …