2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) 2019
DOI: 10.23919/sice.2019.8859924
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Design of Model Predictive Control of Multivariable Time-delay Plants Using Interactor Matrix

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Cited by 2 publications
(3 citation statements)
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“…B 0 : constant non-singular matrix, (12) l m the highest degree of z in the L[z]. (13) The interactor matrix for the plant (1) is obtained by the method using singular value decomposition [15]. If the plant model (1) is derived from the transfer function matrix T(z), then the interactor of the plant (1) is the same to the interactor of the transfer function matrix T(z −1 ), and methods to derive the interactor matrix of transfer matrices are already proposed by several authors [5]- [8].…”
Section: Interactor Matrixmentioning
confidence: 99%
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“…B 0 : constant non-singular matrix, (12) l m the highest degree of z in the L[z]. (13) The interactor matrix for the plant (1) is obtained by the method using singular value decomposition [15]. If the plant model (1) is derived from the transfer function matrix T(z), then the interactor of the plant (1) is the same to the interactor of the transfer function matrix T(z −1 ), and methods to derive the interactor matrix of transfer matrices are already proposed by several authors [5]- [8].…”
Section: Interactor Matrixmentioning
confidence: 99%
“…The plant is selected to be unstable, and time-delay steps are different from each input to output, so that the effect of the interactor and the proposed control can be clearly shown. The plant considered is the two-input two-output plant with the same transfer matrix to the plant used in simulations in [13].…”
Section: Simulationsmentioning
confidence: 99%
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