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  • This paper deals with the finite horizon stochastic optimal control problem with the expectation of the p-norm as the objective function and jointly Gaussian, although not necessarily independent, additive disturbance process. We develop an approximation strategy that solves the problem in a certain class of nonlinear feedback policies while ensuring satisfaction of hard input constraints. A bound on suboptimality of the proposed strategy in this class of nonlinear feedback policies is given for the special case of p=1. We also develop a recursively feasible receding horizon policy with respect to state chance constraints and/or hard control input constraints in the presence of bounded disturbances. The performance of the proposed policies is examined in two numerical examples.
  • This paper deals with the finite horizon stochastic optimal control problem with the expectation of the p-norm as the objective function and jointly Gaussian, although not necessarily independent, additive disturbance process. We develop an approximation strategy that solves the problem in a certain class of nonlinear feedback policies while ensuring satisfaction of hard input constraints. A bound on suboptimality of the proposed strategy in this class of nonlinear feedback policies is given for the special case of p=1. We also develop a recursively feasible receding horizon policy with respect to state chance constraints and/or hard control input constraints in the presence of bounded disturbances. The performance of the proposed policies is examined in two numerical examples. (en)
Title
  • Nonquadratic stochastic model predictive control: A tractable approach
  • Nonquadratic stochastic model predictive control: A tractable approach (en)
skos:prefLabel
  • Nonquadratic stochastic model predictive control: A tractable approach
  • Nonquadratic stochastic model predictive control: A tractable approach (en)
skos:notation
  • RIV/68407700:21230/12:00194348!RIV13-GA0-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP103/12/1187)
http://linked.open...iv/cisloPeriodika
  • 9
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 154429
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00194348
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Stochastic optimal control; Predictive control; Stochastic control; Disturbance feedback (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [6D0F743A8F0F]
http://linked.open...i/riv/nazevZdroje
  • Automatica
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 48
http://linked.open...iv/tvurceVysledku
  • Cigler, Jiří
  • Korda, M.
http://linked.open...ain/vavai/riv/wos
  • 000308454100048
issn
  • 0005-1098
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.automatica.2012.06.053
http://localhost/t...ganizacniJednotka
  • 21230
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