Nonlinear Quasi-Unknown Input Observer Design Using Dissipativity

Alexander Schaum*, Stefan Koch, Jaime A. Moreno

*Corresponding author for this work

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

Abstract

This paper addresses the design of nonlinear quasi-unknown input observers for systems that can be interpreted as an interconnection of a linear dynamical subsystem with a static nonlinear feedback subject to additive perturbations. As assumed classically an exosystem is considered describing the dynamics of the perturbation, meaning that the dynamical mechanisms giving rise to the perturbation are sufficiently well known but the underlying initial condition is unknown. Extending classical results based on the Sylvester equation, and combining them with well-established dissipativity concepts and design methods, a new approach for quasi-unknown input observer design is obtained. It simplifies previous work on general unknown input observer design by exploiting the structural knowledge about the exosystem, without extending the state dimension. The approach is illustrated with numerical case examples.
Original languageEnglish
Title of host publication2024 IEEE 63rd Conference on Decision and Control, CDC 2024
Pages7014-7019
Publication statusAccepted/In press - 2024
Event2024 IEEE 63rd Conference on Decision and Control, CDC 2024 - Milano, Italy
Duration: 16 Dec 202419 Dec 2024
https://cdc2024.ieeecss.org/

Conference

Conference2024 IEEE 63rd Conference on Decision and Control, CDC 2024
Abbreviated titleCDC
Country/TerritoryItaly
CityMilano
Period16/12/2419/12/24
Internet address

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