Abstract

AbstractThis paper presents a set of simple Ziegler‐Nichols‐type functions for implementing generalized predictive controllers (GPCs). By using this set of functions, the implementation of GPCs is simplified considerably and the heavy computational requirements needed are avoided. The functions have been obtained for a CARIMA model that is valid for most processes in industry, as is the case of plants whose behaviour can be described in terms of a static gain, time constant and effective dead time.

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