Robustness analysis of nonlinear feedback systems: an input-output approach

Tryphon T. Georgiou, Malcolm C. Smith

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We summarize a framework for robustness analysis of nonlinear systems [9]. The notion of model uncertainty is based on the closeness of input-output trajectories, and is not tied to a particular uncertainty representation, such as additive, parametric, structured, etc. The basic viewpoint is to regard systems as operators on signal spaces. We outline a global theory and a local approach (over bounded signal sets) which applies to systems with potential for finite escape. Several examples are presented, as well as a generalization of the framework to the case where uncertainty occurs in several subsystems in an arbitrary interconnection.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
StatePublished - Dec 1 1996
EventProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4) - Kobe, Jpn
Duration: Dec 11 1996Dec 13 1996

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume1
ISSN (Print)0191-2216

Other

OtherProceedings of the 1996 35th IEEE Conference on Decision and Control. Part 3 (of 4)
CityKobe, Jpn
Period12/11/9612/13/96

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