2016
DOI: 10.5430/air.v5n2p102
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Adaptive control for uncertain discrete-time systems with unknown disturbance based on RNN

Abstract: A new robust adaptive control algorithm is developed for a class of uncertain discrete-time SISO systems. Different from the existing investigated systems, the concerned discrete system here is with both uncertain smooth nonlinear functions and unknown disturbance. On the basis of the idea of neural network (NN) approximation, a novel recurrent neural network (RNN) is first proposed and used to approximate a backstepping control law following the transformation of the original system into a predictor form. Acc… Show more

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