On the Youla-Kucera parametrization for nonlinear systems
β Scribed by A.D.B. Paice; J.B. Moore
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 625 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0167-6911
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π SIMILAR VOLUMES
## We convert the closed-loop identification of nonlinear time-varying plants, with high signal-to-noise ratio, to an open-loop identification problem of an associated Youla-Kucera parameter. The plant must be stabilizable by a known linear, possibly time-varying controller.
In the field of data-based control system design, nonlinear parametric functions play a key role, in fitting sets of measured data. In many cases, one of the constraints one may wish to impose on the estimated function is the invertibility with respect to one input, a constraint typically hard to ha