In case of the adverse effects of unforeseeable or uncertain disturbances on control systems,
stability robustness of control performance is crucial for controller design. Accordingly, in this …

The “curse of dimensionality” is one of the largest problems that influences the quality of the
optimization process in most data mining, pattern recognition, and machine learning tasks …

As the IEA reports indicated that nuclear power owns a growing market share, which means
that nuclear power plants (NPPs) must be able to respond quickly to grid fluctuations. A …

In this paper, a type of fractional-order quaternion-valued neural networks (FOQVNNs) with
leakage and time-varying delays is established to simulate real-world situations, and the …

Nuclear reactor dynamics has a non-linear nature, and some parameters depend on the
output power level. Accordingly, a load-following issue is important. To this end, it is …

Nonlinear state space modeling of a nuclear reactor has been done for the purpose of
controlling its global power in load following mode. The nonlinear state space model has …

The paper presents the methodology for the synthesis of a Fuzzy Multi-Regional Fractional
Order PID controller (FMR-FOPID) used to control the average thermal power of a PWR …

With the development of technology and the practical needs of complex engineering
applications, fuzzy controllers have been widely applied. In contrast to a traditional integer …

In this paper, an artificial neural network controller is presented using the Multifeedback-
Layer Neural Network (MFLNN), which is a recently proposed recurrent neural network, for …

Major factors of project success include using tools of performance measurements and
feedbacks. Earned value management (EVM) is a unique issue within megaprojects due to …