The use of solar energy as a source of clean energy is increasing throughout the world.
Therefore, designing higher-quality photovoltaic cells has attracted researches. Several …

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 …

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 …

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 …

Electrohydraulic actuation systems offer definative position control and an energy-efficient
solution. Such systems are widely used in mobile machinery, robotics, and various …

Particle swarm optimization has gained increasing popularity in the past 15 years. Its
effectiveness and efficiency has rendered it a valuable metaheuristic approach in various …

Torque control strategy is a common strategy to control robotic manipulators. However, it
becomes complex duo to manipulator dynamics. In addition, position control of Permanent …

In this work, an adaptive dynamic sliding mode control approach is proposed for robotic
systems via uncertainty estimators with exponential convergence rate. The uncertainties are …

In this paper, an efficient technique is presented to identify a 2500 KW wind turbine
operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with …

In this paper, a simple observer-based robust control of robot manipulators in the task-space
is presented. Many nonlinear observers require system dynamics. The novelty of this paper …