In the literature, one can find a lot of methods and techniques employed to estimate single
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …

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 …

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 …

The performance of population-based meta-heuristic algorithms can be divided into two
phases: exploitation and exploration. However, a major drawback of these methods is their …

This paper exploits the design of a decentralized proportional integral derivative (PID)
controller based on nonlinear optimization for a continuously stirred tank reactor system. The …

To solve the problems of poor real-time collision accuracy and low efficiency of modeling in
the virtual reality environment, we propounded a depth image-based 3D modeling system …

In this paper, an adaptive proportional-integral-derivative (PID) controller based on a
quantum neural network (APIDC-QNN) is introduced. In the proposed neural network …

In the last three decades, artificial intelligence (AI) has been increasingly and vigorously
utilized for process control in chemical, biochemical, and biomedical engineering. These …

This study presents a black-box identification and a self-tuning control design of a nonlinear
continuously stirred tank reactor (CSTR). Analyzing and controlling the CSTR is a …

This paper proposes a prediction method of ship motion attitude with high accuracy based
on the long short-term memory neural network. The model parameters should be initialized …