Proceedings of 2012 UKACC International Conference on Control 2012
DOI: 10.1109/control.2012.6334765
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Determination of the domain of attraction and regions of guaranteed cost for robust model predictive controllers based on linear matrix inequalities

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Cited by 3 publications
(3 citation statements)
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“…D ⊂ R can be defined as the set of state vectors ∈ R for which P( ) is feasible, with optimal cost * being smaller or equal to a given bound > 0. This region is convex and symmetric about the origin, as demonstrated in [34].…”
Section: Regions Of Guaranteed Cost a Region Of Guaranteed Costmentioning
confidence: 79%
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“…D ⊂ R can be defined as the set of state vectors ∈ R for which P( ) is feasible, with optimal cost * being smaller or equal to a given bound > 0. This region is convex and symmetric about the origin, as demonstrated in [34].…”
Section: Regions Of Guaranteed Cost a Region Of Guaranteed Costmentioning
confidence: 79%
“…An extreme point of D along the direction of a given vector ∈ R can be obtained by solving the following SDP problem [34]:…”
Section: Regions Of Guaranteed Cost a Region Of Guaranteed Costmentioning
confidence: 99%
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