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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 92))

Abstract

Polytope projects and smart systems are introduced here. Polytope projects are based on a general reference architecture shared by the functional organization of organisms as informational and cognitive systems, by the engineering methodology and the operational structure of self-evolvable systems. The concept of self-integrative closure point out that self-evolvability needs differentiation, integration and coordination. Smart systems are presented here as implementable polytope projects. Cyber-physical systems, that is, smart systems that have cyber technologies deeply embedded in and interacting with physical components, sensing and changing the state of the real world represent an opportunity area and source of competitive advantage for the innovation economy associated to the fourth industrial revolution. Intelligent technical systems are presented as a preliminary implementation of the industry 4.0 concepts.

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References

  • Akhras, G.: Smart materials and smart systems for the future. Can. Mil. J. 1(3), 25–31 (2000)

    Google Scholar 

  • Alvarez, J., Evans, A., Sammut P.: MML and the meta-model architecture. In: Workshop on Transformations in UML (WTUML’01), Genoa (2001)

    Google Scholar 

  • Baas, N.A.: Hyperstructures as abstract matter. Adv. Complex Syst. 9(3), 157–182 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  • Baas, N.A.: Hyperstructures topology and datasets. Axiomathes 19, 281–295 (2009)

    Article  Google Scholar 

  • Baas, N.A.: Higher order architecture of collections of objects. Int. J. Gen Syst 44(1), 55–75 (2015a)

    Google Scholar 

  • Baas, N.A.: On higher structures, December 2015. Int. J. Gen. Syst. 20:1–16 (2015b)

    Google Scholar 

  • Baas, N.A., Ehresmann, A.C., Vanbremeersch, J.P.: Hyperstructures and memory evolutive systems. Int. J. Gen. Syst. 33(5), 553–568 (2004)

    Article  MATH  Google Scholar 

  • Baas, N.A., Seeman, N.C., Stacey, A.: Synthesising topological links. J. Math. Chem. 53(1), 183–199 (2015b)

    Article  MathSciNet  MATH  Google Scholar 

  • Baheti, R., Gill, H.: Cyber-physical systems. Impact Control Technol. 12, 161–166 (2011)

    Google Scholar 

  • Blasiak, P.: Combinatorial route to algebra: the art of composition & de-composition. Discrete Math. Theor. Comput. Sci. 12(2), 381–400 (2010)

    MathSciNet  Google Scholar 

  • Bryner, M.: Smart manufacturing: the next revolution. Chem. Eng. Prog. 108(10), 4–12 (2012)

    Google Scholar 

  • Cariani P.: Emergence and artificial life. In: Langton, C.G., Taylor, J., Farmer, D., Rasmussen, S. (eds.), Artificial Life II, vol. 10, pp. 775–798. Addison Wesley, Redwood City (1992)

    Google Scholar 

  • Crawley, S., Davis, S., Indulska, J., McBride, S., Raymond, K.: Meta-meta is better-better. In: International Working Conference on Distributed Applications and Interoperable Systems, DAIS’97, Cottbus, Germany (1997)

    Google Scholar 

  • Davis, J., Edgar, T.F., Porter, J., Bernaden, J., Sarli, M.: Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Comp. Chem. Engr. 47, 134–144 (2012)

    Article  Google Scholar 

  • Dumitrescu, R., Anacker, H., Gausemeier, J.: Design framework for the integration of cognitive functions into intelligent technical systems. Prod. Eng. Res. Devel. 7(1), 111–121 (2013)

    Article  Google Scholar 

  • Ehresmann, A.C., Vanbremeersch, J.-P.: Memory Evolutive Systems: Hierarchy Emergence, Cognition. Elsevier, Amsterdam (2007)

    MATH  Google Scholar 

  • Fang, X., S. Misra, S., Xue, G. Yang, D.: Smart grid, the new and improved power grid: a survey. IEEE Commun. Surv. Tutorials 14(4):944–980 (2012)

    Google Scholar 

  • Fomin, S.: Duality of graded graphs. J. Algebraic Combin. 3, 357–404 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  • Fox, M., Kemp, M.: Interactive Architecture. Princeton Architectural Press, New York (2009)

    Google Scholar 

  • Gausemeier, J., Korf, S., Porrmann, M., Stahl, K., Sudmann, O., Vaßholz, M.: Development of self-optimizing systems. In: Design Methodology for Intelligent Technical Systems, pp. 65–115, Springer, Berlin (2014)

    Google Scholar 

  • Gessner, T.: Smart Systems Integration. VDE Verlag, Berlin (2007)

    Google Scholar 

  • Hartmann, N.: Der Aufbau der realen Welt. Grundriss der allgemeinen Kategorienlehre. Walter de Gruyter, Berlin (1940)

    Book  Google Scholar 

  • Hartmann, N.: The New Ways of Ontology. Greenwood Press, Westport (1952)

    Google Scholar 

  • Hermann, M., Pentek, T., Otto, B.: Design principles for industrie 4.0 scenarios. In: 49th Hawaii International Conference on System Sciences (HICSS), pp. 3928–3937. IEEE (2016)

    Google Scholar 

  • Hivert, F.: An introduction to combinatorial Hopf algebras: examples and realizations. In: Nato Advanced Study Institute School on Physics and Computer Science, vol. 1, pp. 17–29. Cargese, France (2005)

    Google Scholar 

  • Hwang J.S.: The fourth industrial revolution (industry 4.0): intelligent manufacturing. In: SMT (Surface Mount Technology) Magazine, July 10–15 (2016)

    Google Scholar 

  • Iordache, O.: Polystochastic Models in Chemical Engineering. VNU-Science Press, Utrecht (1987)

    Google Scholar 

  • Iordache, O.: Evolvable Designs of Experiments Applications for Circuits. J Wiley VCH, Weinheim (2009)

    Book  Google Scholar 

  • Iordache, O.: Polystochastic Models for Complexity. Springer, Berlin, Heidelberg (2010)

    Book  MATH  Google Scholar 

  • Iordache, O.: Modeling Multi-Level Systems. Springer, Berlin Heidelberg (2011)

    Book  Google Scholar 

  • Iordache, O.: Self-evolvable Systems. Machine Learning in Social Media. Springer, Berlin, Heidelberg (2012)

    Book  Google Scholar 

  • Iordache, O.: Polytope Projects. Taylor & Francis CRC Press, Boca Raton, FL (2013)

    Book  Google Scholar 

  • Iosifescu, M., Grigorescu, S.: Dependence with complete connections and applications. Cambridge Univ. Press, Cambridge (1990)

    MATH  Google Scholar 

  • Joni, S.A., Rota, G.C.: Coalgebras and bialgebras in combinatorics. Studies in Applied Mathematics 61(2), 93–139 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  • Kagermann, H., Wahlster, W., Helbig, J. (eds.): Recommendations for Implementing the Strategic Initiative Industrie 4.0: Final report of the Industrie 4.0 Working Group (2013)

    Google Scholar 

  • Lee, E. A.: Computing Foundations and Practice for Cyber-Physical Systems: A Preliminary Report. Tech Report Univ. of California Berkeley/EECS-2007-72 (2007)

    Google Scholar 

  • Lee, E. A.: CPS Foundation. In: Proceedings of the 47th Design Automation Conference, Anaheim, CA, pp. 737–742 (2010)

    Google Scholar 

  • Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufact. Lett. 3:18–23 (2015)

    Google Scholar 

  • Mellor, S.J.: MDA Distilled: Principles of Model-Driven Architecture. Addison-Wesley Professional (2004)

    Google Scholar 

  • Nicolis, G., Prigogine, I.: Self-organization in Nonequilibrium Systems. Wiley, New York (1977)

    MATH  Google Scholar 

  • OMG.: Object Management Group, Software & Systems Process Engineering Meta-Model Specification 2.0, (2008)

    Google Scholar 

  • Pattee, H.H.: Causation, control and the evolution of complexity. In: Anderson, P.B., et al. (eds.) Downward Causation. Aarhus University Press, Aarhus, Denmark (2000)

    Google Scholar 

  • Piaget, J.: The Construction of Reality in the Child. Ballantine Books, New York (1971)

    Google Scholar 

  • Poli, R.: The basic problem of the theory of levels of reality. Axiomathes 12, 261–283 (2001)

    Article  Google Scholar 

  • Popper, K.: Natural selection and the emergence of mind. In: Radnitzky, G., Bartley, W.W. (eds.) Evolutionary Epistemology, Rationality and the Sociology of Knowledge. Open Court, La Salle (1987)

    Google Scholar 

  • Schwab, K.: The Fourth Industrial Revolution. World Economic Forum, Geneva (2016)

    Google Scholar 

  • Strang, D., Anderl, R.: Assembly process driven component data model in cyber-physical production systems. World Congr. Eng. Comput. Sci. 2, 22–24 (2014)

    Google Scholar 

  • Varadan, V.K.: Handbook of Smart Systems and Materials. Inst of Physics Pub, London (2005)

    Google Scholar 

  • Wadhawan, V.K.: Smart Structures. Oxford University Press (2005)

    Google Scholar 

  • Whitehead, A.N.: Process and Reality: An Essay in Cosmology. Free Press, NY (1978)

    MATH  Google Scholar 

  • Yuan, X., Anumba, C.J., Parfitt, K.M.: Review of the potential for a cyber-physical system approach to temporary structures monitoring. Int. J. Archit. Res. ArchNet-IJAR 9(3), 26–44 (2015)

    Google Scholar 

  • Zuehlke, D.: Smart factory–from vision to reality in factory technologies. IFAC Proc. 41(2), 1408–14101 (2008)

    Article  Google Scholar 

Download references

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Iordache, O. (2017). Introduction. In: Implementing Polytope Projects for Smart Systems. Studies in Systems, Decision and Control, vol 92. Springer, Cham. https://doi.org/10.1007/978-3-319-52551-8_1

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  • DOI: https://doi.org/10.1007/978-3-319-52551-8_1

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