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- W2313452776 abstract "The paper proposed a new adaptive control system containing a Recurrent Neural Network (RNN) identifier, a Sliding Mode (SM) controller, and an integral term. The SM control is derived defining the sliding surface with respect to the output tracking error. The state and parameter information to resolve the SM control is obtained from a RNN identifier, which permits the SM control to maintain the sliding regime when the plant parameters changed. The simulation results obtained with a continuous stirred tank reactor plant model confirmed the good quality of the control." @default.
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- W2313452776 date "2005-01-01" @default.
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- W2313452776 title "SLIDING MODE CONTROL OF AEROBIC BIOPROCESS USING RECURRENT NEURAL IDENTIFIER" @default.
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- W2313452776 doi "https://doi.org/10.3182/20050703-6-cz-1902.01098" @default.
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