The control systems of nuclear power plants (NPPs) implement the controls of a nuclear
reactor and its power system, equipment, process, and parameters. The performance of the …

This investigation is to review advanced technologies for modeling and control of reactor
cores in nuclear power plants for electricity generation. A reactor core in a nuclear power …

Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex
systems in industry, and is often used with great success as an alternative to conventional …

This article presents an integrated non-linear dynamic model of a Pressurized Water-type
Nuclear Reactor (PWR) and associated plant components for control design and evaluation …

Given the importance of crude oil prices for businesses, governments and policy makers,
this paper investigates predictability of oil prices using artificial neural networks taking into …

Nuclear power plants (NPPs) are complex dynamic systems with multiple sensors and
actuators. The presence of faults in the actuators and sensors can deteriorate the system's …

Price of oil is important for the economies of oil exporting and oil importing countries alike.
Therefore, insight into the likely future behaviour and patterns of oil prices can improve …

Soft Computing (SC) is defined as a group of computational techniques that solve complex
problems independent of mathematical models. SC techniques including artificial neural …

In this paper, a novel approach has been presented to simulate and optimize the pulsating
heat pipes (PHPs). The used pulsating heat pipe setup was designed and constructed for …