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Using enzymatic numerical P systems for modeling mobile robot controllers

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Abstract

P systems (PSs) are powerful computing models based on the structure of a biological cell and on the way chemicals interact in complex biochemical reactions which take place in various compartments (or membranes) of the cell. A lot of interest has been focused on developing various forms of PSs, from cell-like to tissue-like structures. Most of the research effort has been concentrated on symbolical PSs. Numerical P systems (NPSs) have been introduced in 2006 for possible applications in economics and business processes but no other structures and applications concerning this type of PSs have been provided since then. This paper proposes a new class of NPSs, in which enzyme-like variables allow the existence of more than one production function in each membrane, while keeping the deterministic nature of the system. The way this new type of deterministic NPSs works and a possible use of it for modeling mobile robot controllers are detailed.

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References

  • Arsene O, Buiu C, Popescu N (2011) SNUPS—A Simulator for Numerical Membrane Computing. Int J Innov Comput Inf Control 7(6):3509−3522

    Google Scholar 

  • Buiu C, Vasile C, Arsene O (2010) Development of membrane controllers for mobile robots (submitted)

  • Buiu C, Arsene O, Cipu C, Patrascu M (2011) A software tool for modeling and simulation of numerical P systems. BioSystems 103(3):442–447

    Article  Google Scholar 

  • Calude C, Paun G (2001) Computing with cells and atoms: an introduction to quantum, DNA and membrane computing. Taylor and Francis, London, p 109

  • Ibarra OH, Paun G (2006–2007) Membrane computing: a general view. Ann Eur Acad Sci. EAS Publishing House, Liege, pp 83–101

  • Nelson DL, Cox MM (2008) Lehninger principles of biochemistry. W.H. Freeman and Company, New York

    Google Scholar 

  • Paun G (1999) Computing with membranes: an introduction. Bull EATCS 67:139–152

    MathSciNet  MATH  Google Scholar 

  • Paun G (2000) Computing with membranes. J Comput Syst Sci 61(1):108–143

    Article  MathSciNet  MATH  Google Scholar 

  • Paun G (2002) Membrane computing: an introduction. Springer, Berlin

    MATH  Google Scholar 

  • Paun G, Paun R (2006) Membrane computing and economics: numerical P systems. Fundam Inf 73(1–2):213–227

    MathSciNet  MATH  Google Scholar 

  • Paun G, Perez-Jimenez MJ, Riscos-Nunez A (2009) Proceedings of the tenth workshop on membrane computing

  • Paun G, Rozenberg G, Salomaa A (eds) (2010) Oxford handbook of membrane computing. Oxford University Press, New York

    MATH  Google Scholar 

Download references

Acknowledgments

This work was supported by CNCSIS UEFISCSU, project number PNII IDEI 1692/2008. The contribution of Octavian Arsene for the implementation of SNUPS simulator is acknowledged.

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Authors and Affiliations

  1. Laboratory of Natural Computing and Robotics, Department of Automatic Control and Systems Engineering, Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Splaiul Independenţei, Nr. 313, Sector 6, 060042, Bucharest, Romania

    Ana Brânduşa Pavel & Cătălin Buiu

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  1. Ana Brânduşa Pavel
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  2. Cătălin Buiu
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Correspondence to Ana Brânduşa Pavel.

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Pavel, A.B., Buiu, C. Using enzymatic numerical P systems for modeling mobile robot controllers. Nat Comput 11, 387–393 (2012). https://doi.org/10.1007/s11047-011-9286-5

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