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  • 标题:An Approximation of Minimax Control using Random Sampling and Symbolic Computation
  • 本地全文:下载
  • 作者:Jawher Jerray ; Laurent Fribourg ; Étienne André
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:5
  • 页码:265-270
  • DOI:10.1016/j.ifacol.2021.08.509
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe aim at the synthesis of an approximateminimax controlfor a system dynamic given in the formx(t)= f(x(t), u (t),d(t))wherexrepresents the state,uthe control (or input) andda disturbance (or perturbation). The disturbanced(t)is prescribed to a compact domain D on which it can take any value(bounded uncertainty).Our method makes use ofsymbolic computationto enclose the solutions corresponding to all possible disturbanced (-) ϵ D,together with a simple algorithm ofrandom samplingto select the minimum control u⁎(•). We illustrate the interest of this approximate minimax control on an example of a biochemical reactor.
  • 关键词:KeywordsSwitched systemsbounded uncertaintyoptimal controlrandom samplingEuler’s method
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