Browsing by Subject "System identification"
Now showing items 1-6 of 6
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(Texas A&M University. Libraries, 1993)An adaptive hybrid learning procedure is proposed for change detection and on-line identification of nonstationary manufacturing processes. Sequential measurements in manufacturing systems and on-line measured signals in ...
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(Texas A&M University, 2007-09-17)This dissertation is the first attempt to demonstrate the use of magnetic-levitation (maglev) positioners for commercial applications requiring nanopositioning. The key objectives of this research were to devise the control ...
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(2020-06-22)Nonlinear effects become more important in predicting the motions of a wave energy structure (WES), which is subject to large (relative to its dimensions) motion amplitudes. To model the WES more accurately, a time-domain ...
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(Texas A&M University. Libraries, 1993)The objective of this research is to develop a nonlinear empirical model structure and an associated parameter estimation algorithm based on artificial neural networks (ANNs), and to further use it for the identification ...
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(Texas A&M University. Libraries, 1991)Tuning strategies associated with a digitally programmable and reconfigurable continuous-time filter structure which is monolithically implementable and possesses potential for high-frequency precision application are ...
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(2019-07-19)In reservoir engineering, data-driven methodologies have been applied successfully to infer interwell connections and flow patterns in the subsurface, model order reduction of reservoir simulations, and in assisting field ...