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Typical Report Citation and Abstract<br />

å 19990032467 York Univ., Dept. of Electronics, UK<br />

TIME DOMAIN IDENTIFICATION OF HELICOPTERS: A NEW<br />

PERSPECTIVE<br />

ê Clarke, T., York Univ., UK; System Identification for Integrated<br />

‚ Aircraft Development and Flight Testing; March 1999, pp. 21-1 –<br />

21-9; In English; See also 19990032449<br />

ƒ Contract(s)/Grant(s): EPSRC-GR/H80989; Copyright Waived;<br />

ñ Avail: CASI; A02, Hardcopy; A04, Microfiche<br />

ò The time-domain, observer-Kalman filter/eigensystem realization<br />

algorithm is successfully applied to the problem of generating<br />

a minimal state space model realization from a non-linear Lynx<br />

helicopter model. A linear realization is generated which gives a<br />

better representation of the non-linear model than that obtained<br />

using small perturbation linearization methods. The approach can<br />

be used to extract an unstable model from the flight data of a<br />

closed-loop stabilized system, even when the feedback dynamics<br />

are not precisely known.<br />

ô Author<br />

õ Feedback Control; Helicopters; System Identification; Mathematical<br />

Models; Algorithms; Time Domain Analysis<br />

Key<br />

1. Document ID Number; Corporate Source and Location<br />

2. Title<br />

3. Author and Affiliation; Conference/Publication Name<br />

4. Publication Date; Other Pub. Info. Including Parent/Subsidiary ID Numbers<br />

5. Report/Contract Number(s)<br />

6. Availability Information Including Price Codes and Media<br />

7. Abstract<br />

8. Abstract Author<br />

9. <strong>Subject</strong> Terms

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