Nonlinear Identification of pH Process by Using NNARX Model

M. Rajalakshmi; C. Karthik

Nonlinear Identification of pH Process by Using NNARX Model

Affiliations
1 Department of EIE, Kamaraj College of Engineering and Technology, Virudhunagar, Tamilnadu, India
2 Department of EIE, Kalasalingam University, Krishnankoil, Tamilnadu, India

This paper discusses the application of Neural Network Auto-Regressive model with eXogenous inputs (NNARX) in the area of identification of nonlinear dynamical systems. The main contribution of this paper is to identify suitable model and model structure of nonlinear dynamic system. In this paper Neural Network Auto-Regressive model with eXogenous inputs (NNARX) and ANFIS models are applied to identify highly nonlinear dynamic process and comparison was made between NNARX and ANFIS. The simulation results show that ANFIS is very effective to identify the nonlinear system.