Multimode Diagnosis for Switched Affine Systems

Conference Paper (2021)
Author(s)

Jingwei Dong (TU Delft - Team Peyman Mohajerin Esfahani)

Arman Kolarijani (TU Delft - Team Tamas Keviczky)

Peyman Mohajerinesfahani (TU Delft - Team Peyman Mohajerin Esfahani, TU Delft - Team Bart De Schutter)

Research Group
Team Peyman Mohajerin Esfahani
Copyright
© 2021 J. Dong, Arman Sharifi K., P. Mohajerin Esfahani
DOI related publication
https://doi.org/10.23919/ACC50511.2021.9483077
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 J. Dong, Arman Sharifi K., P. Mohajerin Esfahani
Research Group
Team Peyman Mohajerin Esfahani
Pages (from-to)
870-875
ISBN (electronic)
978-1-6654-4197-1
Reuse Rights

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Abstract

In this paper, we propose an approach to detect mode transitions and to isolate active modes in discrete-time, switched affine systems. The proposed approach is in particular constructed for systems in which the controller is oblivious of the switching signal. The diagnosis approach consists of two main parts: construction of a bank of output filters (that generate desired residuals) and definition of a certain type of residual/threshold-based diagnosis rules. The filters' construction is cast as linear feasibility problems. These feasibility problems enforce desirable diagnosis relationships between each subsystem's affine constant and each residual. The diagnosis rules are inspired by the well-known generalized observer scheme. Moreover, we provide a method to compute each mode's diagnosis time based on the diagnosis rules and properly chosen residual thresholds. A numerical example is presented to show the performance of the proposed approach.

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