Non-linear State Estimation for Continuous Stirred Tank Reactor using Neural Network State Filter

In this paper, a systematic approach to design a non-linear observer to estimate the state vector of a non-linear dynamic system has been presented. The neural network based state filtering algorithm proposed by A.G. Parlos et al. has been used by the authors to estimate the state variables, concentration and temperature in the CSTR process