• Corpus ID: 106696907

On Structured System Identification and Nonparametric Frequency Response Estimation

@inproceedings{Hgg2014OnSS,
  title={On Structured System Identification and Nonparametric Frequency Response Estimation},
  author={Per H{\"a}gg},
  year={2014}
}
  • P. Hägg
  • Published 2014
  • Engineering, Computer Science
To keep up with the ever increasing demand on performance and efficiency of control systems, accurate models are needed. System identification is concerned with the estimation and validation of mathematical models of dynamical systems from experimental data. The main problem considered in this thesis is how to take advantage of structural information in system identification. Including this additional information can significantly improve the quality of the identified model.First, the problem… 
Hybrid Time-Variant Frequency Response Function Estimates Using Multiple Sets of Basis Functions
  • Tao Song, D. Lin
  • Mathematics, Engineering
    IEEE Transactions on Instrumentation and Measurement
  • 2017
TLDR
A new method for estimating the nonparametric time-variant frequency response function (TV-FRF) and its variance of a hybrid time-varying system is proposed and can achieve high estimation accuracy and small uncertainty without requiring prior knowledge of the time variation of system dynamics.

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