17th International Symposium on
Mathematical Theory of Networks and Systems
Kyoto International Conference Hall, Kyoto, Japan, July 24-28, 2006

MTNS 2006 Paper Abstract

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Paper ThP12.2

Scherer, Carsten (Delft Univ. of Tech.), Kose, I. Emre (Bogazici Univ.)

Robust Estimation with Dynamic Integral Quadratic Constraints

Scheduled for presentation during the Regular Session "Convex Optimization I" (ThP12), Thursday, July 27, 2006, 15:45−16:10, Room 104b

17th International Symposium on Mathematical Theory of Networks and Systems, July 24-28, 2006, Kyoto, Japan

This information is tentative and subject to change. Compiled on May 19, 2024

Keywords Integral quadratic constraints, Uncertain systems, Convex optimization

Abstract

For robustness analysis with integral quadratic constraints, we formulate a new positivity condition on the solution of the corresponding linear matrix inequality which is necessary and sufficient for nominal stability of the underlying system. The application of this technical result is illustrated by means of the robust estimation problem.