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Open AccessArticle

A Perceptive Interface for Intelligent Cyber Enterprises

1
Automatic Control and Systems Engineering Department Bucharest, University Politehnica of Bucharest, Bucharest 999032, Romania
2
Automatic Control and Industrial Informatics Department Bucharest, University Politehnica of Bucharest, Bucharest 999032, Romania
3
Institute of Solid Mechanics of the Romanian Academy, Bucharest 010141, Romania
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4422; https://doi.org/10.3390/s19204422
Received: 15 September 2019 / Revised: 8 October 2019 / Accepted: 10 October 2019 / Published: 12 October 2019
Large scale, complex, networked enterprises, as may be considered (trans)national energy systems, multi-national manufacturing enterprises, smart cities a.s.o. are structures that can be characterized as systems of systems (SoS) and, as such, require specific modelling paradigms and control architectures to ensure their successful running. Their main characteristic is the necessity of solving practically one-of-a-kind problems with respect to the external context and internal configuration, thus dealing with dynamically evolving flows of data and information. The paper introduces the concept of intelligent cyber-enterprise, as an integrating paradigm that uses information and knowledge dynamics, in order to model and control SoS, especially focusing on the importance of appropriately adapt external and internal perception of an enterprise through a new generation of sensorial systems—the perceptive interfaces. The authors analyze sensing and perception in relation to intelligent cyber enterprise model and propose an implementation for a perceptive system interface.
Keywords: cyber-physical systems; intelligent cyber enterprise; systems interface cyber-physical systems; intelligent cyber enterprise; systems interface
MDPI and ACS Style

Dumitrache, I.; Caramihai, S.I.; Moisescu, M.A.; Sacala, I.S.; Vladareanu, L.; Repta, D. A Perceptive Interface for Intelligent Cyber Enterprises. Sensors 2019, 19, 4422.

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