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On a direct relation between GPC in a state space approach and GPC in a polynomial approach

Authors: Shiro Masuda;

On a direct relation between GPC in a state space approach and GPC in a polynomial approach

Abstract

Generalized predictive control (GPC) can be derived in a state space approach as well as in a polynomial approach, and several researches which give relations between these approaches had been discussed. However, strict equivalence between GPC in a polynomial approach and GPC in a state space approach has not been shown so far. Therefore, in this paper, a direct relation between GPC in a state space approach and GPC in a polynomial approach is discussed. According to the result of the paper, GPC in a state space approach with minimal order observer is shown to be exactly equivalent to GPC in the conventional polynomial approach.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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