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 language | English |
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Title of host publication | 2024 IEEE 63rd Conference on Decision and Control, CDC 2024 |
Pages | 7014-7019 |
Publication status | Accepted/In press - 2024 |
Event | 2024 IEEE 63rd Conference on Decision and Control, CDC 2024 - Milano, Italy Duration: 16 Dec 2024 → 19 Dec 2024 https://cdc2024.ieeecss.org/ |
Conference
Conference | 2024 IEEE 63rd Conference on Decision and Control, CDC 2024 |
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Abbreviated title | CDC |
Country/Territory | Italy |
City | Milano |
Period | 16/12/24 → 19/12/24 |
Internet address |