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A hierarchical hybrid model for intelligent cyber-physical systems

Andrea Claudi, Paolo Sernani, Gianluca Dolcini, Luca Palazzo, Aldo Franco Dragoni

Year
2013
Citations
7

Abstract

Cyber-physical systems are now widespread in applications of paramount importance, from traffic control to healthcare and robotics applications. Modelling cyber-physical systems making use of artificial intelligent methodologies is very difficult, because of unpredictability in AI algorithms timing performances. This paper proposes a methodology to model Intelligent Cyber-Physical Systems, relying on hierarchical hybrid models. The proposed modelling method is used to develop an autonomous robot for face-detection and face-recognition, and some experiments were proposed to validate its performances. © 2013 University of Applied Science, Regensburg.

Keywords

Cyber-physical systemComputer scienceArtificial intelligenceIntelligent decision support systemRoboticsRobotHybrid systemPhysical systemFace (sociological concept)Machine learning

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