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CDC
2008
IEEE

Estimating disturbances and model uncertainty in model validation for robust control

14 years 2 months ago
Estimating disturbances and model uncertainty in model validation for robust control
— Deterministic approaches to model validation for robust control are investigated. In common deterministic model validation approaches, a trade-off between disturbances and model uncertainty is present, resulting in an ill-posed problem. In this paper, an approach to model validation is presented that attempts to remedy the ill-posedness. By employing accurate, non-parametric, deterministic disturbance models in conjunction with enforcing averaging properties of deterministic disturbances, a novel framework enabling model validation for robust control is obtained. The approach results in a realistically estimated model uncertainty and a disturbance model, and is illustrated in a simulation example.
Tom Oomen, Okko Bosgra
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CDC
Authors Tom Oomen, Okko Bosgra
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