A two-stage probability based, conservatism reduction methodology for traditional Minimax robust control system design

Author(s)
Zhang, Linyu
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Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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Abstract
A two-stage, probability-based controller design methodology is proposed to reduce the conservatism from traditional robust minimax controller design method, by relaxing the norm-bounded parameter uncertainty constraint and incorporating uncertain parameters' probabilistic information.
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Date
2016-04-12
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Text
Resource Subtype
Dissertation
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