1991 | OriginalPaper | Buchkapitel
Identification, Estimation and Control of Continuous-Time Systems Described by Delta Operator Models
verfasst von : Peter C. Young, Arun Chotai, Wlodek Tych
Erschienen in: Identification of Continuous-Time Systems
Verlag: Springer Netherlands
Enthalten in: Professional Book Archive
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This Chapter outlines a unified approach to the identification, estimation and control of linear, continuous-time, stochastic, dynamic systems which can be described by delta (δ) operator models with constant or time-variable parameters. It shows how recursive refined instrumental variable estimation algorithms can prove effective both in off-line model identification and estimation, and in the implementation of self-tuning or self-adaptive True Digital Control (TDC) systems which exploit a special Non-Minimum State Space (NMSS) formulation of the δ operator models.