Application of Genealogical Decision Trees for Open-loop Tracking Control

نویسندگان

  • Enso Ikonen
  • Kaddour Najim
  • Pierre Del Moral
چکیده

A new approach based on a genealogical decision tree is suggested for solving an open-loop tracking problem. The algorithm associates Gaussian distributions to both the norms of the control actions and the tracking errors. It solves the optimization problem sequentially, using random resampling from a population of solutions. This stochastic search model can be interpreted as a simple genetic particle evolution model with a natural birth and death interpretation. It converges in probability. Two numerical examples, dealing with rapid thermal processing and robotics, illustrate the feasibility and the performance of this control algorithm. Copyright c ° IFAC 2005

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تاریخ انتشار 2005