Khargonekar, Pramod P.

Niemann, Hans Henrik

Stoustrup, Jakob

Zhou, Kemin

Zhou, K.

Khargonekar, P.P.

Niemann, H.H.

English

Robust Performance of Systems with Structured Uncertainties in State Space

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 synthesisproblems 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

Online Research Database In Technology

https://vbn.aau.dk/ws/files/52662243/automatica_1995.pdf

Robust Performance of Systems with Structured Uncertainties in State Space

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Online Research Database In Technology