Title page for ETD etd-11242009-020121
|Type of Document
||Gorti, Bhaskar M.
||Techniques for discrete, time domain system identification
||Master of Science
|VanLandingham, Hugh F.
|Baumann, William T.
|Bingulac, Stanoje P.
|Date of Defense
Effective and efficient system identification techniques for discrete, time
domain, linear, MIMO, heavily damped modal systems from input/output
sequences have been developed and simulated. This will facilitate a better
understanding of the possible errors in the estimated model and lead to a more
accurate compensator and estimator design. Three different time domain system
identification algorithms have been developed in this work. The first algorithm
determines the state space model in a pseudo controllable/observable canonical
form. The second method is a computational simplification of the Eigensystem
Realization Algorithm using pseudo observability and controllability indices. The
third algorithm tested is the Pseudo Linear Identification Algorithm (PLID). The
PLID algorithm is extensively tested on simulated data. This algorithm is also
applied to identify a rectangular plate which gives a realistic idea of the
identification capabilities of the PLID algorithm to real measured data.
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