Minimum order linear system identification and parameter estimation with application

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Date

2014

Author

Erdoğan, Onur Cem

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Design, control, and investigation of complex systems require a tool to understand and model system behavior. This tool is the system identification, which convert the system response to a mathematical formulation. During the identification phase, the utilized model is important to convey system behavior. In this study, a number of minimum order and non-parametric system identification algorithms are implemented for the identification of linear time invariant mechanical systems. For this purpose, impulse response determination methods are investigated to obtain system behavior. State space modeling and special models used in the identification process of physical systems are investigated. Two system realization algorithms implementing minimum order non-parametric linear system identification are presented. A transformation based method for the extraction of physical system parameters from a real system model is represented. The suggested methods are implemented on both simulation and test data for different system models to investigate their effectiveness and performance.

Subject Keywords

Linear systems., System theory., Parameter estimation., Wavelets (Mathematics)., Linear time invariant systems.

URI

http://etd.lib.metu.edu.tr/upload/12617887/index.pdf
https://hdl.handle.net/11511/23971

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

O. C. Erdoğan, “Minimum order linear system identification and parameter estimation with application,” M.S. - Master of Science, Middle East Technical University, 2014.