The significant global trend towards solar energy has led to the development of studies on
the fabrication of high-performance solar cells. Accurate modeling and parameter …

Abstract The Bees Algorithm is a parameter optimisation method that mimics the foraging
behaviour of honey bees. This paper presents an experimental study of the performance of …

This study proposes a finite‐time integral backstepping control for a class of non‐linear
systems considering practical aspects including saturation constraints, actuator fault …

Due to outstanding learning capabilities, neural networks have attracted a great deal of
research interests and various structures for them have been presented. Quantum neural …

In this paper, a combination of a multi-layer quantum neural network (QNN) with the particle
swarm optimization (PSO) algorithm is used with the aim of controlling a continuous stirred …

Many control approaches presented in the field of robotics require velocity signals, which
are not usually provided by many commercial robots. The novelty of this paper is designing …

This paper addresses the problem of attitude control of a spacecraft in the presence of
model uncertainty, external disturbance, actuator fault and saturation. By introducing a novel …

Purpose The purpose of this paper is to develop new four-dimensional (4D) hyperchaotic
system by adding another state variable and linear controller to three-dimensional T chaotic …

Based on the dynamic model, a robust constrained control method for permanent magnet
synchronous motor (PMSM) is proposed in this paper to achieve better trajectory tracking …

In this paper, an adaptive observer for robust control of robotic manipulators is proposed.
The lumped uncertainty is estimated using Chebyshev polynomials. Usually, the uncertainty …