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## Rotorcraft system identification: an integrated time - frequency-domain approach

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The problem of rotorcraft system identification is considered and a novel, two-step technique is proposed, which combines the advantages of time-domain and frequency-domain methods. In the first step, the identification of a black-box model using a subspace model identification method is carried out, using a technique which can deal with data generated under feedback; subsequently, in the second step, a-priori information on the model structure is enforced in the identified model using an H model matching method. A bootstrap-based approach is used to estimate model uncertainty for the identified models. A simulation study is used to illustrate the proposed approach.

Chapter Contents:

• Abstract
• 13.1 Introduction
• 13.2 Problem statement and preliminaries
• 13.3 An integrated time - frequency-domain approach
• 13.3.1 Continuous-time predictor-based subspace model identification
• 13.3.2 From unstructured to structured models with an H∞ approach
• 13.4 Bootstrap uncertainty estimation in subspace identification methods
• 13.5 Simulation study: model identification for the BO-105 helicopter
• 13.6 Concluding remarks
• References

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