The Characteristics, Methods, Trends and Applications of Intelligent Systems

Abstract

Interaction between intelligent systems and their human operators in dynamic, shifting, and unpredictable natural and social settings is novel area of study within the topic of intelligent computing systems. Robots of the past were not effective at making decisions on their own; instead, they routinely carried out the same set of actions in the same situations because they believed that the world was predictable. Nowadays, decisions may be made quickly and effectively by intelligent systems in practical settings. Modern intelligent systems include characteristics such as intelligent search and optimization, artificial evolution, and autonomous decision support that are unavailable in a traditional information system. An in-depth analysis of the methods used to create intelligent systems is presented in this paper. These techniques are often categorized as either artificial intelligence or soft computing. Some examples include the use of a neural network, fuzzy logic, a hybrid system, or a swarm of intelligent insects. In addition, this article gives an overview of two applications of intelligent systems and technologies such as Geothermal Heat Pumps (GHPs) and Heat exchangers (HEXs).

Artificial Intelligence and Agent based Modeling for Power System Engineering

“…The maximum operating frequency of this converter exceeds that of a standard current-fed converter, allowing it to be used at higher frequencies. This converter employs a clamp circuit to smooth down the switching transition and eliminate [28] any harsh voltage changes that might damage the power semiconductor components. The converter's size and cost are decreased when compared to standard converters due to the use of a single input inductors and the absence of a clamp winding [29].…”