A non linear system controlling by using artificial neural network

This article describes using artificial neural networks (ANNs) to control nonlinear systems. A third-order function is used to represent the nonlinear system. Using back propagation delay, the ANN has been utilized to train the nonlinear system's unknown variable. The fact that the non-linear system is non-converging indicates that it is an unstable, non-bounded system. Enhancement of the performance parameters is possible if the third-order system's objective function incorporates the limitations limits. ANN is used to train the third order non-linear system with restrictions. The nonlinear system is rapidly convergent to a bounded value in the stable area following the use of ANN.