Networked Predictive Control Based on Nonlinear Input–Output Model

Abstract

In this chapter, a nonlinear networked predictive control method is presented for nonlinear systems described by a nonlinear autoregressive moving average model, where random network-induced delays, packet disorders, and packet dropouts in the feedback and forward channels are considered. In its implementation, the nonlinear model can be identified using an artificial neural network approach as an example. Numerical simulations and practical experiments are performed to confirm the effectiveness of the proposed method.