Today humankind is facing an unprecedented set of many difficult problems and challenges
that have never been encountered before. They urgently need realistic and long lasting …

With high penetration of electric vehicles (EVs), stability of the electric grid becomes a
challenging task. A greater penetration level would demand a proper coordination amongst …

This paper proposes an improved input shaping for minimising payload swing of an
overhead crane with payload hoisting and payload mass variations. A real time unity …

Automation and robotics have the potential to transform the landscape of chemistry and
materials research. However, there are still many repetitive manual processes in the …

This paper discusses the modeling of a multi charging station for Electric Vehicles (EVs) and
its utilisation for grid support. Allowing the EVs to charge and discharge without any control …

Buck DC–DC converter is used in many applications to supply a fixed amount of DC voltage.
They are highly sensitive to the frequently changing loading conditions. Such a situation …

This study presents the design and analysis of an intelligent control system that inherits the
systematic and recursive design methodology for an n-link robot manipulator, including …

This paper proposes a diagonal recurrent neural network (DRNN) based identification
model for approximating the unknown dynamics of the nonlinear plants. The proposed …

In this paper, a fully-tuned fuzzy neural network based robust adaptive control (FFNNBARC)
scheme for trajectory and attitude tracking of Unmanned Underwater Vehicle (UUV) subject …

A neuro-adaptive backstepping control (NABSC) method using single-layer Chebyshev
polynomial based neural network is proposed for the angular velocity tracking in buck …