49th IEEE Conference on Decision and Control (CDC) 2010
DOI: 10.1109/cdc.2010.5716947
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Hankel-type model reduction based on frequency response matching

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Cited by 5 publications
(6 citation statements)
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“…The new techniques are presented in [10] [11] and show how to design a robust controller for multi-model uncertainty using H 2 and H ∞ under pole placement; however, these techniques require reducing the order of the plant model. performance of the reduced model is identical to the original one [12] [13]. As a result, there is a loss of information.…”
Section: Introductionmentioning
confidence: 69%
“…The new techniques are presented in [10] [11] and show how to design a robust controller for multi-model uncertainty using H 2 and H ∞ under pole placement; however, these techniques require reducing the order of the plant model. performance of the reduced model is identical to the original one [12] [13]. As a result, there is a loss of information.…”
Section: Introductionmentioning
confidence: 69%
“…Is the described set big enough to provide any improvement at all? This question was studied in [19] and [20], besides the mentioned work [8]. The results for low orders as 2 and 3 are colorfully illustrated in [19].…”
Section: B Theoretical Justification and Detailsmentioning
confidence: 93%
“…To authors best knowledge, using the described formulation a meaningful convex relaxation is impossible. Therefore the two-step techniques proposed in [19] (developed in [8]) will be employed to address the problem. First, a so called "central" transfer function will be computed and then around it the solution will be constructed using semidefinite programming.…”
Section: Preliminariesmentioning
confidence: 99%
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