Simulation and experimental implementation of a neural-network-based internal-model control strategy on a reactor system
The use of inverse-model-based control strategy for nonlinear system has been increasing lately. However it is hampered by the difficulty in obtaining the inverse of nonlinear systems analytically. Since neural networks has the ability to model such inverses, it has become a viable alternative. Alth...
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Taylor & Francis
1999
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