paper

Generalized Nonlinear Robust Energy-to-Peak Filtering for Differential Algebraic Systems

arXiv:1402.6044

Abstract

The problem of robust nonlinear energy-to-peak filtering for nonlinear descriptor systems with model uncertainties is addressed. The system is assumed to have nonlinearities both in the state and output equations as well as norm-bounded time-varying uncertainties in the realization matrices. A generalized nonlinear dynamic filtering structure is proposed for such a class of systems with more degrees of freedom than the conventional static-gain and dynamic filtering structures. The L2-Linfty filter is synthesized through semidefinite programming and strict LMIs, in which the energy-to-peak filtering performance in optimized.

arXiv comment16 pages, 2 figures. arXiv admin note: substantial text overlap with arXiv:1402.5511

Cited by in corpus (1)