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State Variable System Identification through Frequency Domain Techniques

Bihl, Trevor Joseph

Abstract Details

2011, Master of Science (MS), Ohio University, Electrical Engineering (Engineering and Technology).
The thesis develops, tests and implements a hybrid frequency domain and state space system identification method. A frequency domain least squares system identification algorithm, along with a coherence function technique for eliminating noisy data is used to sequentially develop discrete single-input, multiple-output (SIMO)transfer function models between each input and the outputs. From the transfer function models, difference equations are obtained. Using the difference equations, discrete impulse responses between each input and each output are computed. These impulse responses are then processed by a state space system identification technique to create a minimum order state space multiple-input, multiple-output (MIMO) model. This process is illustrated with a MIMO example and with data from a laboratory facility called Flexlab.
Jerrel Mitchell, PhD (Advisor)
Douglas Lawrence, PhD (Committee Member)
J. Jim Zhu, PhD (Committee Member)
Sergiu Aizicovici, PhD (Committee Member)
149 p.

Recommended Citations

Citations

  • Bihl, T. J. (2011). State Variable System Identification through Frequency Domain Techniques [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1307128475

    APA Style (7th edition)

  • Bihl, Trevor. State Variable System Identification through Frequency Domain Techniques. 2011. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1307128475.

    MLA Style (8th edition)

  • Bihl, Trevor. "State Variable System Identification through Frequency Domain Techniques." Master's thesis, Ohio University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1307128475

    Chicago Manual of Style (17th edition)