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  • Není k dispozici (cs)
  • The Monte Carlo approach is used in this paper to solve optimal control problem of an uncertain system - robust control problem. The Monte Carlo approach uses samples of unknown variables. This approach enables to solve the minimization problem and the mean value computation of the chosen criterion. For nonlinear uncertain systems there is no general analytical method how to solve the optimal control problem and our approach gives the solution with prescribed accuracy. In this paper LQ (Linear system, Quadratic criterion) robust optimal control problem and predictive control of uncertain system is solved.
  • The Monte Carlo approach is used in this paper to solve optimal control problem of an uncertain system - robust control problem. The Monte Carlo approach uses samples of unknown variables. This approach enables to solve the minimization problem and the mean value computation of the chosen criterion. For nonlinear uncertain systems there is no general analytical method how to solve the optimal control problem and our approach gives the solution with prescribed accuracy. In this paper LQ (Linear system, Quadratic criterion) robust optimal control problem and predictive control of uncertain system is solved. (en)
Title
  • Není k dispozici (cs)
  • Robust LQ Optimal Control by Statistical Learning Theory
  • Robust LQ Optimal Control by Statistical Learning Theory (en)
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  • Není k dispozici (cs)
  • Robust LQ Optimal Control by Statistical Learning Theory
  • Robust LQ Optimal Control by Statistical Learning Theory (en)
skos:notation
  • RIV/68407700:21230/04:03099433!RIV/2005/GA0/212305/N
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  • RIV/68407700:21230/04:03099433
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  • LQ optimal contro; Robust control; Statistical learning theory (en)
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  • Urban, Petr
  • Štecha, Jan
  • Vlček, Zdeněk
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  • 21230
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