Kanno, Masaaki (Japan Science and Tech. Agency), Anai, Hirokazu (Fujitsu Lab. ltd)

H_infty Model Reduction Using Quantifier Elimination

Scheduled for presentation during the Regular Session "Model reduction" (MoP05), Monday, July 24, 2006, 16:35−17:00, Room F

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 April 23, 2024

Abstract

This paper is concerned with H_infty model reduction, and an approach is proposed to solve this non-convex problem by means of the quantifier elimination technique. The approach is capable of showing exact feasible regions in the space of the achievable error and the approximant coefficients, both symbolically and graphically, and enables one to ``see'' the optimal error and the approximant.