Robust terminal filtering in an H setting-application to affine functional networks training

Isaac Yaesh, Noelia Sánchez Maronõ, Uri Shaked

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of robust terminal estimation of discrete time-varying linear systems is considered in an H setting. The problem solution is obtained in terms of Difference Linear Matrix Inequalities and it can be applied to obtain state-estimates for a class of nonlinear systems, via linearization. The resulting estimator is shown to be suitable for training a class of functional neural networks.

Original languageEnglish
Title of host publication2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959877
DOIs
StatePublished - 2014
Event2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/TerritoryIsrael
CityEilat
Period3/12/145/12/14

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