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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Bibliographic Details
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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Summary: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.
ISSN:0018-9286
1558-2523
DOI:10.1109/9.508901