Towards Autonomous Systems: From Control Systems to Intelligent Control to Intelligent Behavior Generation to Cooperative Autonomy

2006 ◽  
Author(s):  
Kevin Moore
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Autonomous Systems ◽  
Intelligent Behavior

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.

Secure Networked Control Systems

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Henrik Sandberg ◽  
Vijay Gupta ◽  
Karl H. Johansson
Keyword(s):  
Control Systems ◽  
Critical Infrastructure ◽  
Networked Control Systems ◽  
Denial Of Service ◽  
Autonomous Systems ◽  
Mitigation Strategies ◽  
Networked Control ◽  
Annual Review ◽  
Publication Date ◽  
Process Industries

Cyber-vulnerabilities are being exploited in a growing number of control systems. As many of these systems form the backbone of critical infrastructure and are becoming more automated and interconnected, it is of the utmost importance to develop methods that allow system designers and operators to do risk analysis and develop mitigation strategies. Over the last decade, great advances have been made in the control systems community to better understand cyber-threats and their potential impact. This article provides an overview of recent literature on secure networked control systems. Motivated by recent cyberattacks on the power grid, connected road vehicles, and process industries, a system model is introduced that covers many of the existing research studies on control system vulnerabilities. An attack space is introduced that illustrates how adversarial resources are allocated in some common attacks. The main part of the article describes three types of attacks: false data injection, replay, and denial-of-service attacks. Representative models and mathematical formulations of these attacks are given along with some proposed mitigation strategies. The focus is on linear discrete-time plant models, but various extensions are presented in the final section, which also mentions some interesting research problems for future work. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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

scholarly journals Model of an intelligent control system for an irrigation complex

2021 ◽  
pp. 103-108
Author(s):  
Dmitry Aleksandrovich Solovyev ◽  
Galina Nickolaevna Kamyshova ◽  
Dmitry Alexandrovich Kolganov ◽  
Nadezhda Nickolaevna Terekhova
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Process Automation ◽  
Automated Control ◽  
Simple Process ◽  
Intelligent Control System ◽  
Irrigation Technologies ◽  
Traditional Approaches ◽  
Precision Irrigation

The article presents the results of modeling an intelligent control system for an irrigation complex. The introduction of precision irrigation technologies requires the development of new approaches to technical support. Traditional approaches based on simple process automation often do not lead to effective solutions. An approach based on the model of intellectualization of automated control systems is proposed. The structure of the intelligent control system for the irrigation complex is substantiated, which is based on an artificial neural network.

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