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Time-domain validation for sample-data uncertainty models

We consider time-domain model validation for sampled-data systems with H/sub /spl infin//-compatible uncertainty models. These uncertainty models consist of a nominal continuous-time plant model together with given bounds for system uncertainty and signal disturbances. The validation problem is to d...

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Published in:	IEEE transactions on automatic control 1996-07, Vol.41 (7), p.980-991
Main Authors:	Rangan, S., Poolla, K.
Format:	Article
Language:	English
Subjects:	Additives Applied sciences Computer science control theory systems Control theory. Systems Exact sciences and technology Filtering Frequency estimation Interpolation Modelling and identification Quantization Robust control Sampling methods System identification Time domain analysis Uncertainty
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description	We consider time-domain model validation for sampled-data systems with H/sub /spl infin//-compatible uncertainty models. These uncertainty models consist of a nominal continuous-time plant model together with given bounds for system uncertainty and signal disturbances. The validation problem is to determine whether or not a given discrete sampled input-output data record is consistent with a postulated uncertainty model. Based on continuous-time interpolation theorems, we provide validation algorithms for unstructured, additive uncertainty models that reduce to convex programming. We treat both linear time-invariant and linear time-varying modeling uncertainty sets.
doi_str_mv	10.1109/9.508901
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language	eng
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source	IEEE Electronic Library (IEL) Journals
subjects	Additives Applied sciences Computer science control theory systems Control theory. Systems Exact sciences and technology Filtering Frequency estimation Interpolation Modelling and identification Quantization Robust control Sampling methods System identification Time domain analysis Uncertainty
title	Time-domain validation for sample-data uncertainty models
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