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 / Claudi, Andrea; Sernani, Paolo; Dolcini, Gianluca; Palazzo, Luca; Dragoni, Aldo Franco. - (2013), pp. 13-18. (Intervento presentato al convegno Workshop on Intelligent Solutions in Embedded Systems (WISES 2013) tenutosi a Plzen, Czech Republic nel 10-11 Sept. 2013).

A Hierarchical Hybrid Model for Intelligent Cyber-Physical Systems

CLAUDI, ANDREA;SERNANI, PAOLO;DOLCINI, Gianluca;PALAZZO, Luca;DRAGONI, Aldo Franco
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
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/128063
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? ND
social impact