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Research on a fast algorithm of model predictive control

Authors: Hao Pan; Mingzhe Yuan;

Research on a fast algorithm of model predictive control

Abstract

The traditional control methods are not able to keep control performance in a high level because response speed becomes more important for industrial control. This paper presented a fast predictive control algorithm, which was easy and simple to calculate and the principle of algorithm was very clear and greatly improved the speed of response and calculation, as well as demonstrated the principles of fast algorithms and operation process of the algorithm. Finally, we analyzed the stability, dynamic characteristics and steady state characteristics of system, and used lead-lag correction link to improve the performance of system. The results of simulation demonstrated that all of methods and improved algorithms were feasibility.

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citations
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