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- W1835878797 abstract "In this paper we propose a complete scheme for a non-linear controller design to steer the process state between different operating points. The completeness of our controller design is determined in first instance by considering the process modelling issues in a framework of non-linear state-space neural models, in second instance by considering the state estimation issues through a design of non-linear neural state observers and finally by considering control issues translated into a design of non-linear neural state feedback tracking controller. The main feature of the presented approach is that it includes available a priori process knowledge into the design. Furthermore of this the design takes into account process disturbances and the measurement noise. All non-linear transfer functions being designed are approximated by static neural networks which are trained by a mixed stochastic-gradient optimization procedure. The algorithm is demonstrated by simulation of transitions on a fluidized bed polymerization reactor." @default.
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- W1835878797 date "1996-01-01" @default.
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- W1835878797 title "Neural state transition controller for a polymerization reactor" @default.
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