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VI Brazilian Symposium on Neural Networks (SBRN'00)
A Chemical Reactor Benchmark for Parallel Adaptive Control Using Feedforward Neural Networks
Rio de Janeiro, Brazil
January 22-January 25
ISBN: 0-7695-0856-1
Daniel Oliveira Cajueiro, Instituto Tecnol?gico de Aeron?utica
Elder Moreira Hemerly, Instituto Tecnol?gico de Aeron?utica
This paper applies a parallel scheme for adaptive control that uses only one neural network to a CSTR (Continuous Stirred Tank Reactor). Convergence of the identification error is investigated by Lyapunov's second method. Using two different techniques carries out the training process of the neural network: backpropagation and extended Kalman filter algorithm.
Citation:
Daniel Oliveira Cajueiro, Elder Moreira Hemerly, "A Chemical Reactor Benchmark for Parallel Adaptive Control Using Feedforward Neural Networks," sbrn, pp.44, VI Brazilian Symposium on Neural Networks (SBRN'00), 2000
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