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Lie Symmetry-Based Local Observability and Identifiability Analysis

Description

This data presents a MAPLE implementation for Lie symmetry-based local observability and structural local identifiability analysis of nonlinear control systems. The implementation includes multiple illustrative examples demonstrating its application to different classes of nonlinear systems. Developed as part of a master’s project, this material accompanies and supports the results presented in the associated master's thesis.

Metadata

Authors
Contributors
Further Persons:
Dates
Submitted: 2026-05-01Available since: 2026-05-06
DOI
https://doi.org/10.48662/daks-518
Faculty
FB10:Mathematik und Naturwissenschaften
Department
Algorithmische Algebra und Diskrete Mathematik
Language
en_US
Data types
SoftwareThesis
Keywords
ObservabilityIdentifiabilityLie SymmetriesControl TheoryInvolutive Basis
DFG-subjects
3.31-01 - Mathematik4.41-01 - Automatisierungstechnik, Mechatronik, Regelungssysteme, Intelligente Technische Systeme, Robotik
License
https://mit-license.org/
URI
https://daks.uni-kassel.de/handle/123456789/722
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Baberuxki, Nick; Seiler, Werner M.. (2026). Lie Symmetry-Based Local Observability and Identifiability Analysis. DaKS. https://doi.org/10.48662/daks-518

License

MIT License
Except where otherwised noted, this item's license is described as MIT License