State space based dual-rate self-tuning
نویسنده
چکیده
Abstraet--A state space based dual-rate self-tuning algorithm is proposed for the case where the output sampling rate is slower than the input update rate. A state space innovation model suitable for dual-rate self-tuning control is derived. The parameters of the innovation model together with the states are estimated by a recursive prediction error estimator. The control strategy has been based on a pole restriction principle. Simulation studies are presented to establish the practical usefulness of the algorithm.
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ورودعنوان ژورنال:
- Automatica
دوره 30 شماره
صفحات -
تاریخ انتشار 1994