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Stochastic simulation of biotechnical processes

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  • Kinder, Michael
  • Wiechert, Wolfgang

Abstract

The stochastic counterpart to the commonly used deterministic description of biotechnical processes with ordinary differential equations is introduced. We briefly discuss calculus, numerical and statistical treatment of stochastic differential equations. A simple method to construct confidence intervals is presented. With this approach simulation results help to find robust solutions for biotechnical control problems. Several applications illustrate our approach.

Suggested Citation

  • Kinder, Michael & Wiechert, Wolfgang, 1996. "Stochastic simulation of biotechnical processes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 42(2), pages 171-178.
    • Handle: RePEc:eee:matcom:v:42:y:1996:i:2:p:171-178
    DOI: 10.1016/0378-4754(95)00130-1
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    Cited by:

    1. Jinlong Yuan & Jun Xie & Honglei Xu & Enmin Feng & Zhilong Xiu, 2019. "Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process," Complexity, Hindawi, vol. 2019, pages 1-15, February.

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