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Design of New Hybrid Neural Structure for Modeling and Controlling Nonlinear Systems
This paper proposes a new structure of the hybrid neural controller based on the identification model for nonlinear systems. The goal of this work is to employ the structure of the Modified Elman Neural Network (MENN) model into the NARMA-L2 structure instead of Multi-Layer Perceptron (MLP) model in order to construct a new hybrid neural structure that can be used as an identifier model and a nonlinear controller for the SISO linear or nonlinear systems. Weight parameters of the hybrid neuraldoi:10.31026/j.eng.2019.02.08 fatcat:wtnuivhuyfh2vjzmb6ssudsr5i