Intelligent control for autonomous systems

IEEE Spectrum ◽  
1995 ◽  
Vol 32 (6) ◽  
pp. 55-62 ◽  
Author(s):  
K.M. Passino
Keyword(s):  
Intelligent Control ◽  
Autonomous Systems

Intelligent Control of Advanced Autonomous Systems

2021 ◽  
pp. 322-330
Author(s):  
Gennady P. Vinogradov ◽  
Igor A. Konyukhov ◽  
Aleksey A. Prokhorov
Keyword(s):  
Intelligent Control ◽  
Autonomous Systems

scholarly journals Classifying Intelligence in Machines: A Taxonomy of Intelligent Control

Robotics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 64 ◽  
Author(s):  
Callum Wilson ◽  
Francesco Marchetti ◽  
Marilena Di Carlo ◽  
Annalisa Riccardi ◽  
Edmondo Minisci
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Autonomous Systems ◽  
Human Intelligence ◽  
Control Methods ◽  
Stages Of Development

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.

scholarly journals Intelligent Control in Discrete Time for Autonomous Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-2
Author(s):  
Chenguang Yang ◽  
Bin Xu ◽  
Hongbin Ma ◽  
Deqing Huang ◽  
Jing Na
Keyword(s):  
Intelligent Control ◽  
Discrete Time ◽  
Autonomous Systems

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

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