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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/118932...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Hybrid Intelligent PID Control for MIMO System

Authors: Jih-Gau Juang; Kai-Ti Tu; Wen-Kai Liu;

Hybrid Intelligent PID Control for MIMO System

Abstract

This paper presents a new approach using switching grey prediction PID controller to an experimental propeller setup which is called the twin rotor multi-input multi-output system (TRMS). The goal of this study is to stabilize the TRMS in significant cross coupling condition and to experiment with set-point control and trajectory tracking. The proposed scheme enhances the grey prediction method of difference equation, which is a single variable second order grey model (DGM(2,1) model). It is performed by real-value genetic algorithm (RGA) with system performance index as fitness function. We apply the integral of time multiplied by the square error criterion (ITSE) to form a suitable fitness function in RGA. Simulation results show that the proposed design can successfully adapt system nonlinearity and complex coupling condition.

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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!
4
Average
Top 10%
Average
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