Control Configuration Selection for MIMO Nonlinear Systems

Hamid Reza Shaker, Mohammad Komareji

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Control configuration selection is the procedure of choosing the appropriate input and output pairs for the design of SISO (or block) controllers. This step is an important prerequisite for a successful industrial control strategy. In industrial practices, it is often the case that systems, which are needed to be controlled, are nonlinear, and linear models are insufficient to describe the behavior of the processes. The focus of this work is on the problem of control configuration selection for such systems. A gramian-based interaction measure for control configuration selection of MIMO nonlinear processes is described. In general, most of the results on the control configuration selection, which have been proposed so far, can only support linear systems. The proposed gramian-based interaction measure not only supports nonlinear processes but also can be used to propose a richer sparse or block diagonal controller structure. The interaction measure is used for control configuration selection of the nonlinear quadruple-tank process.
Original languageEnglish
JournalIndustrial & Engineering Chemistry Research
Volume51
Issue number25
Pages (from-to)8583–8587
ISSN0888-5885
DOIs
Publication statusPublished - 4. Jun 2012
Externally publishedYes

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MIMO systems
Nonlinear systems
Controllers
Linear systems

Cite this

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title = "Control Configuration Selection for MIMO Nonlinear Systems",
abstract = "Control configuration selection is the procedure of choosing the appropriate input and output pairs for the design of SISO (or block) controllers. This step is an important prerequisite for a successful industrial control strategy. In industrial practices, it is often the case that systems, which are needed to be controlled, are nonlinear, and linear models are insufficient to describe the behavior of the processes. The focus of this work is on the problem of control configuration selection for such systems. A gramian-based interaction measure for control configuration selection of MIMO nonlinear processes is described. In general, most of the results on the control configuration selection, which have been proposed so far, can only support linear systems. The proposed gramian-based interaction measure not only supports nonlinear processes but also can be used to propose a richer sparse or block diagonal controller structure. The interaction measure is used for control configuration selection of the nonlinear quadruple-tank process.",
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Control Configuration Selection for MIMO Nonlinear Systems. / Shaker, Hamid Reza; Komareji, Mohammad.

In: Industrial & Engineering Chemistry Research, Vol. 51, No. 25, 04.06.2012, p. 8583–8587.

Research output: Contribution to journalJournal articleResearchpeer-review

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AU - Shaker, Hamid Reza

AU - Komareji, Mohammad

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AB - Control configuration selection is the procedure of choosing the appropriate input and output pairs for the design of SISO (or block) controllers. This step is an important prerequisite for a successful industrial control strategy. In industrial practices, it is often the case that systems, which are needed to be controlled, are nonlinear, and linear models are insufficient to describe the behavior of the processes. The focus of this work is on the problem of control configuration selection for such systems. A gramian-based interaction measure for control configuration selection of MIMO nonlinear processes is described. In general, most of the results on the control configuration selection, which have been proposed so far, can only support linear systems. The proposed gramian-based interaction measure not only supports nonlinear processes but also can be used to propose a richer sparse or block diagonal controller structure. The interaction measure is used for control configuration selection of the nonlinear quadruple-tank process.

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