Self-tuning based on radial basis function neural network of a linear system

Abstract

Abstract— This paper introduces the inverse control design using neural network based self tuning regulator (STR). The control algorithm performs equally very well to both minimum phase and non-minimum phase of linear plants. The controller is the radial basis function neural network (RBFNN) and acts as inverse of the plant. The plant parameters are… (More)

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