Quantitative feedback design for systems with probabilistic parameterizations | Zendy

Boje Edward | Zendy

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Quantitative feedback design for systems with probabilistic parameterizations

Author(s) -

Boje Edward

Publication year - 2006

Publication title -

international journal of robust and nonlinear control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.361

H-Index - 106

eISSN - 1099-1239

pISSN - 1049-8923

DOI - 10.1002/rnc.1107

Subject(s) - probabilistic logic , perspective (graphical) , set (abstract data type) , computer science , probabilistic design , quantitative feedback theory , control theory (sociology) , control engineering , artificial intelligence , engineering , robust control , engineering design process , control (management) , control system , mechanical engineering , electrical engineering , programming language

This paper examines the feedback design possibilities for uncertain plants where the underlying parameterization is described by a probabilistic rather than a deterministic set membership. The design perspective is Horowitz' quantitative feedback theory. Copyright © 2006 John Wiley & Sons, Ltd.

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