Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19144
Title: Integrations between Autonomous System and Modern Computing Techniques: A Mini-review
Authors: Chen, J
Abbod, M
Shieh, JS
Keywords: autonomous;intelligent control system;machine learning;loT;big data
Issue Date: 29-Aug-2019
Publisher: MDPI
Citation: Sensors, 2019
Abstract: The emulation of human behavior for autonomous problem solving has been an interdisciplinary field of research. Generally, classical control systems are used for static environments, where external disturbances and changes in internal parameters can be fully modulated before or neglected during operation. However, classical control systems are inadequate at addressing environmental uncertainty. By contrast, autonomous systems, which were first studied in the field of control systems, can be applied in an unknown environment. This paper summarizes the state of the art autonomous systems by first discussing the definition, modeling, and system structure of autonomous systems and then providing a perspective on how autonomous systems can be integrated with advanced resources (e.g., the Internet of Things, big data, Over-the-Air, and federated learning). Finally, what comes after reaching full autonomy is briefly discussed.
URI: http://bura.brunel.ac.uk/handle/2438/19144
DOI: http://dx.doi.org/10.3390/s19183897
ISSN: 1424-8220
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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