✦ LIBER ✦

ESTIMATION OF OUTPUT ERROR MODELS IN THE PRESENCE OF UNKNOWN BUT BOUNDED DISTURBANCES

✍ Scribed by GILLES FERRERES; MOHAMMED M'SAAD

Publisher: John Wiley and Sons
Year: 1997
Tongue: English
Weight: 383 KB
Volume: 11
Category: Article
ISSN: 0890-6327
DOI: 10.1002/(sici)1099-1115(199703)11:2<115::aid-acs426>3.0.co;2-4

No coin nor oath required. For personal study only.

✦ Synopsis

In the context of set membership identification the feasible parameter set is defined as the set of plant parameters which are consistent with the model structure, the assumptions on (unknown but bounded) disturbances and all available measurements. It appears more convenient in practice to build an outerbounding set, typically an ellipsoid, a parallelotope or an orthotope. This paper describes methods for adjusting set membership techniques, which are only applicable to equation error models, to the case of output error models. A method for building the optimal outer-bounding orthotope is also proposed. Equation error and output error methods are evaluated on the example of the estimation of a missile state space model in the presence of measurement noise and neglected dynamics.

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