A neural-network-based nonlinear controller using an extended Kalman filter

A neural-network-based control scheme is presented to control unknown nonli near dynamic processes. A multilayered feedforward neural network is used t o model the process dynamics, and the control input is estimated by an exte nded Kalman filter based on the neural model. The effectiveness of the prop osed scheme is verified by both simulations and experiments.