ADAPTIVE CONTROL OF A CLASS OF NONLINEAR NON-MINIMUM PHASE SYSTEMS USING NEURAL NETWORKS
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Graphical Abstract
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Abstract
A novel algorithm, using neural networks and based on the concepts of linearizaion and feedforward compensation, is proposed for the adaptive control of a class of nonlinear non-minimum phase systems. The closed-loop stability analysis of the feedforward controller has been obtained. Simulation results are also presented.
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