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Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization

1 1 1 1 1 Rating 4.89 (18 Votes)

PROJECT TITLE :

Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization

ABSTRACT:

Block-oriented model structure detection is sort of fascinating since it helps to imagine the system with real physical elements. In this paper, we explore experimental methods to detect the interior structure of the system, employing a black box approach. 2 completely different strategies are compared and the simplest combination of those is introduced. The methods are applied on 2 real systems with a static nonlinear block in the feedback path. The main goal is to excite the system during a approach that reduces the whole distortion within the measured frequency response functions to own a lot of precise measurements and more reliable decision concerning the structure of the system.


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Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization - 4.9 out of 5 based on 18 votes

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