Abstract
The paper deals with the possible extensions of the existing self-tuning prediction methods for a class of distributed parameter systems (DPS). The distributed output signal of the process is transformed to a single output variable using the spatial weighted average (SWA) transformation and then finite number of local measurements are taken into consideration. Several predictor algorithms are presented for different DPS-s. Simulation results are also given.
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