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Article #137continuous system identification
From: CHRISTOPHER M KURKER
Date: Wed, 18 Nov 1992 20:55
Date: Wed, 18 Nov 1992 20:55
33 lines
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1780 bytes
Hello, I hope this is an appropriate forum for a question about identification of continuous-time (CT) and discrete-time (DT) systems. In my research I need to parameterize a linear system that is the cascade of a continuous-time system (an anti-aliasing filter with perhaps two important poles and one important zero) followed by a discrete-time system (a fourth-order DT Bessel filter). My goal is to find the overall system's frequency response and various measures of it, including 3dB frequency, phase linearity, etc.). I need to parameterize the system from empirical data consisting of frequency response data from the CT filter and time-domain impulse response data from the DT filter. (I suppose I could get time-domain step response data for the CT filter also.) I am aware of the various methods for DT system identification for the DT filter (e.g. method of least squares), but am unaware of what to do for the CT filter, short of doing a DFT on the impulse response. I am also aware of direct frequency domain IIR DT system design methods which can calculate a DT transfer function from magnitude and phase vs. frequency data, and wonder if an analog of this exists for identifying CT systems. Any help on this would be greatly appreciated. Thanks. Chris Kurker cmkurker@eos.ncsu.edu North Carolina State University Raleigh, NC
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Newsgroups: sci.engr.control Path: arc1-ca.pugleaf.net!sparky!uunet!charon.amdahl.com!pacbell.com!ames!agate!stanford.edu!rock!taco!cmkurker From: cmkurker@eos.ncsu.edu (CHRISTOPHER M KURKER) Subject: continuous system identification Message-ID: <1992Nov18.205537.14661@ncsu.edu> Sender: news@ncsu.edu (USENET News System) Organization: NCSU Project Eos Date: Wed, 18 Nov 1992 20:55:37 GMT Lines: 33