2012
DOI: 10.1016/j.jprocont.2012.04.008
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Centralized multivariable control by simplified decoupling

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Cited by 75 publications
(64 citation statements)
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“…Using configuration 1-2 (depicted in Figure 3), the following expressions (9) for the non-zero controller elements are obtained from (5) and (6 In the configuration 2-1 (Figure 4), the general expressions for the controller elements are given by (10), which are obtained from (5) and (6). The corresponding general expressions for conventional centralized decoupling control for 2×2 processes that are obtained according to (1) are given by (11).…”
Section: Centralized Inverted Decoupling Control For 2×2 Processesmentioning
confidence: 99%
See 1 more Smart Citation
“…Using configuration 1-2 (depicted in Figure 3), the following expressions (9) for the non-zero controller elements are obtained from (5) and (6 In the configuration 2-1 (Figure 4), the general expressions for the controller elements are given by (10), which are obtained from (5) and (6). The corresponding general expressions for conventional centralized decoupling control for 2×2 processes that are obtained according to (1) are given by (11).…”
Section: Centralized Inverted Decoupling Control For 2×2 Processesmentioning
confidence: 99%
“…In the first case, a decoupler [8][9][10][11][12][13][14][15][16] is used to minimize interaction or to make the system diagonal dominant; then, the controllers are designed using some decentralized method. Figure 1a shows the general control scheme of this approach where G(s), D(s) and C(s) are the process matrix, the decoupling matrix and the decentralized control matrix, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…The gradient descent method can be used to adjust the velocity. For function f (X), X = (x 1 , x 2 , · · · , x n ), the gradient is shown in Equation (9).…”
Section: Adaptive Parameters Adjustmentmentioning
confidence: 99%
“…PID control technique has been widely used in the real control system for its advantages such as simple mechanism and clear physical conception. It is hard to get a precise control performance even while researchers focus on other intelligent control methods, including adaptive control [1,2], fuzzy control [3,4,5], neural network control [6,7,8] and decoupling control [9,10,11] etc.. And then, some mixed control methods are emerging, such as PID neural network. Due to the characteristics of self-learning, self-organizing and self-adaptation, PID neural network would automatically identify the controlled system parameters and automatically adjust the parameters according to the changes in the process parameters.…”
Section: Introductionmentioning
confidence: 99%
“…For example, Garrido et al [20] proposed a centralized control design, which was based on the simplified decoupling technique. Here, it was shown that the decoupler elements that are set to unity might not be necessarily the diagonal elements.…”
Section: Introductionmentioning
confidence: 99%