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Chaos detection and control in production systems

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Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 24)

Abstract

The growing structural and dynamical complexity of today’s production systems in combination with nonlinearities causes problems for production control. For analysing the complex production systems a production model is simulated with a production simulator and the dynamic system properties are examined with different methods of the linear and nonlinear time series analysis. The dependence of the stock fluctuations of different parameters and initial conditions are analysed. At the appearance of irregular stock fluctuations, suitable control methods should intrude into sensitive production sectors and lead the system back to a stable range.

Keywords

Production Control Nonlinear Dynamics Chaos Theory Time Series Analysis 

References

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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  1. 1.Brandenburg Technical University of CottbusCottbusGermany

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