The paper presents a method of designing a fuzzy controller for a nonlinear system
described only by input/output relations. A fuzzy model of the system is constructed on the …

Rechargeable batteries as an energy source in electric vehicles (EVs), hybrid electric
vehicles (HEVs) and smart grids are receiving more attention with the worldwide demand for …

In this study, a novel Power Factor Correction System based on Sliding Mode Fuzzy Control
is presented. This structure is used as an AC/DC/AC drive system for asynchronous …

Robot manipulators are well-known as nonlinear systems including strong coupling
between their dynamics (Craig, 1996). These characteristics, in company with: 1) structured …

The dynamical model of manipulator robot is represented by equations systems which are
nonlinear and strongly coupled. Furthermore, the inertial parameters of manipulator depend …

In this paper a new method is proposed for attitude estimation of an accelerated rigid body.
The sensors are used consist of Inertial Measurement Unit (a 3-axis gyroscope with …

Attitude determination for underwater vehicles in control and navigation applications has
been always an important issue. MEMS-based accelerometer and gyroscope data can be …

The paper presents a method of obtaining a simplified fuzzy model of an induction motor
from measured data, without the necessity of preliminary knowledge of its internal structure …

This paper presents a novel adaptive fuzzy high-order super-twisting sliding mode
controller, based on the modified super-twisting control (STC), to achieve accurate trajectory …

Fault tolerance is increasingly important in industrial robots. The ability to detect and tolerate
failures allows robots to effectively cope with internal failures and continue performing …