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Controlled variable Terms Links

To create model A, we must link the two subsystems in an appropriate fashion. We introduce two coupling parameters, gi and gj, and a third parameter, k, that adjusts the relative time scales of the two subsystems. The first coupling parameter causes changes in the variable V of system II to affect the control parameter p in system I. To accomplish this, we first identify P with the constant term k A in eq. (8.3) and then replace p hy p + g V. We also introduce a coupling in the other direction by replacing Vby V + g2B on the right-hand sides of eqs. (8.5) and (8.6). This modification causes oscillations of sufficient magnitude in system I to push system II beyond the threshold of excitability. [Pg.166]

This paper describes the development of a novel dynamic predictive and optimal control method for the wet end of a papermaking systems. This part of the system plays an important function in the process in terms of its controllability and potential for optimisation. The wet end process is complicated and the control systems are always multivariable and dynamic in nature. Due to the severe interactions between each variable, general physical and chemistry based modelling techniques cannot be established. As such, feed-forward neural networks are selected as a modelling tool so as to build up a number of non-linear models that link all the variables to the concerned quality outputs and process efficiency. [Pg.1067]


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Control Terms Links

Control: variables

Controlled variable

Controller Terms Links

Variables, 14 controlling

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