Generalized Nonlinear Robust Energy-to-Peak Filtering for Differential Algebraic Systems
Systems and Control
2014-02-26 v1 Optimization and Control
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.
Keywords
Cite
@article{arxiv.1402.6044,
title = {Generalized Nonlinear Robust Energy-to-Peak Filtering for Differential Algebraic Systems},
author = {Masoud Abbaszadeh},
journal= {arXiv preprint arXiv:1402.6044},
year = {2014}
}
Comments
16 pages, 2 figures. arXiv admin note: substantial text overlap with arXiv:1402.5511