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- W2113483867 abstract "We propose a complete scheme for a nonlinear controller design to steer the process between different operating points. The main features of the controller are that it includes a state observer and dynamic state feedback. The process disturbances are considered in the design as well. The controller is designed for a wide range of nonlinear process dynamics where the performance of a linear controller dramatically deteriorates. The state observer includes a nonlinear state space simulation model of the process being estimated from measured input/output data. The state vector is partitioned into two parts which reflect our a priori knowledge about the process dynamics. The design algorithm is verified using a simulation model of a fluidized bed polymerization reactor. No assumptions are made in the design that would be violated in application of the controller for a real process." @default.
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- W2113483867 date "2002-12-24" @default.
- W2113483867 modified "2023-09-25" @default.
- W2113483867 title "Nonlinear transition controller design using neural networks tested on a polymerization reactor" @default.
- W2113483867 cites W1930951083 @default.
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- W2113483867 doi "https://doi.org/10.1109/cdc.1996.572805" @default.
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