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Robust performance of systems with structured uncertainties in state space

โœ Scribed by Kemin Zhou; Pramod P. Khargonekar; Jakob Stoustrup; Hans Henrik Niemann


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
717 KB
Volume
31
Category
Article
ISSN
0005-1098

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โœฆ Synopsis


This paper considers robust performance analysis and state feedback design for systems with time-varying parameter uncertainties. The notion of a strongly robust % performance criterion is introduced, and its applications in robust performance analysis and synthesis for nominally linear systems with time-varying uncertainties are discussed and compared with the constant scaled small gain criterion. It is shown that most robust performance analysis and synthesis problems under this strongly robust % performance criterion can be transformed into linear matrix inequality problems, and can be solved through finite-dimensional convex programming.

The results are in general less conservative than those using small gain type criteria.


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