Runge-kutta mimo narma-l2 controller

Abstract

This paper introduces a novel control architecture which combines nonlinear autoregressive moving average (NARMA)-L2 control method with Runge Kutta based system modeling. Control law is developed by employing NARMA-L2 model via Taylor expansion. Jacobian information required for the controller is constituted by making use of RK model of plant to be controlled. To evaluate performance, simulations are carried out on the Three Tank System. Runge-Kutta based Generalized Predictive Controller (GPC) is deployed to compare the performance of the introduced controller. Acquired results illustrate that introduced controller has substantially good performance on multiple input multiple output (MIMO) nonlinear systems