Intelligent Control Systems and Applications on Smart Grids

Sharaf, A.Μ.; Othman, Ahmed M.; Eldessouky, Ahmed; Abdelsalam, Abdelazeem A.

doi:10.1007/978-3-319-32168-4_5

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Cited by 3 publications

References 17 publications

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A Robust Decoupled Microgrid Charging Scheme Using a DC Green Plug-Switched Filter Compensator

Şahin,

Sharaf

2022

Fast Charging and Resilient Transportation Infrastructures in Smart Cities

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A Robust Decoupled Microgrid Charging Scheme Using a DC Green Plug-Switched Filter Compensator

Şahin,

Sharaf

2022

Fast Charging and Resilient Transportation Infrastructures in Smart Cities

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Intelligent Control: A Taxonomy

Wilson

Marchetti

Carlo

et al. 2019

2019 8th International Conference on Systems and Control (ICSC)

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In this paper we highlight the stages of development towards intelligent control and define it based on literature. Furthermore, we propose a novel taxonomy of intelligent control methods which categorises these based on their level of uncertainty in three areas: the environment, the control system, and the goals. These areas are consistent with the key elements of intelligent control present in existing definitions. Using this taxonomy, we present some example intelligent control methods and their classifications to illustrate the applicability of the taxonomy.

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Classifying Intelligence in Machines: A Taxonomy of Intelligent Control

Wilson¹,

Marchetti²,

Carlo³

et al. 2020

Robotics

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The quest to create machines that can solve problems as humans do leads us to intelligent control. This field encompasses control systems that can adapt to changes and learn to improve their actions—traits typically associated with human intelligence. In this work we seek to determine how intelligent these classes of control systems are by quantifying their level of adaptability and learning. First we describe the stages of development towards intelligent control and present a definition based on literature. Based on the key elements of this definition, we propose a novel taxonomy of intelligent control methods, which assesses the extent to which they handle uncertainties in three areas: the environment, the controller, and the goals. This taxonomy is applicable to a variety of robotic and other autonomous systems, which we demonstrate through several examples of intelligent control methods and their classifications. Looking at the spread of classifications based on this taxonomy can help researchers identify where control systems can be made more intelligent.

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Intelligent Control Systems and Applications on Smart Grids

Cited by 3 publications

References 17 publications

A Robust Decoupled Microgrid Charging Scheme Using a DC Green Plug-Switched Filter Compensator

A Robust Decoupled Microgrid Charging Scheme Using a DC Green Plug-Switched Filter Compensator

Intelligent Control: A Taxonomy

Classifying Intelligence in Machines: A Taxonomy of Intelligent Control

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