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.

A Hierarchical Hybrid Model for Intelligent Cyber-Physical Systems

SERNANI, PAOLO;
2013-01-01

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.
2013
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11393/302331
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